{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "hXIJ7Mvizsm-"
   },
   "source": [
    "## Train/Evaluate a DNN for AMC\n",
    "\n",
    "This notebook demonstrates how to create a neural network and a trainer in PyTorch to learn a signal classification task.  The reference dataset used is the RML2016.10A dataset for Automatic Modulation Classification\n",
    "\n",
    "### Assumptions\n",
    "- The dataset wrangling has already been completed (and is provided here)\n",
    "- The classifier evaluation code (and the plotting) has already been completed\n",
    "\n",
    "### Components Recreated in Tutorial\n",
    "- Deep Neural Network Model defined in PyTorch\n",
    "- Training Loop that trains for *n* epochs\n",
    "\n",
    "### See Also\n",
    "The code in this tutorial is a stripped down version of the code in ``rfml.nn.model.CNN`` and ``rfml.nn.train.StandardTrainingStrategy`` that simplifies discussion.  Further detail can be provided by directly browsing the source files for those classes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "fWuzJnD5zsm_"
   },
   "source": [
    "## Install the library code and dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "_CYvIkdwzsnA"
   },
   "outputs": [],
   "source": [
    "# Install the library code\n",
    "#!pip install git+https://github.com/brysef/rfml.git@1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xZXJtKgLzsnE"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "setGPU: Setting GPU to: 1\n"
     ]
    }
   ],
   "source": [
    "# IPython Includes (just for documentation)\n",
    "from IPython.display import Image\n",
    "\n",
    "# Ensure that the least loaded GPU is used\n",
    "import setGPU\n",
    "\n",
    "# Plotting Includes\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# External Includes\n",
    "import numpy as np\n",
    "from pprint import pprint\n",
    "\n",
    "from torch.autograd import Variable\n",
    "import torch.nn as nn\n",
    "from torch.optim import Adam\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "# Internal Includes\n",
    "from rfml.data import Dataset, Encoder\n",
    "from rfml.data.converters import load_RML201610A_dataset\n",
    "\n",
    "from rfml.nbutils import plot_acc_vs_snr, plot_confusion, plot_convergence, plot_IQ\n",
    "\n",
    "from rfml.nn.eval import compute_accuracy, compute_accuracy_on_cross_sections, compute_confusion\n",
    "from rfml.nn.model import Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "yn08CS2vzsnG"
   },
   "source": [
    "## Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vv27phvSzsnH"
   },
   "outputs": [],
   "source": [
    "gpu = True       # Set to True to use a GPU for training\n",
    "fig_dir = None   # Set to a file path if you'd like to save the plots generated\n",
    "data_path = None # Set to a file path if you've downloaded RML2016.10A locally"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "AgsYbed4zsnJ"
   },
   "source": [
    "### Loading a Dataset\n",
    "\n",
    "The dataset used is downloaded from DeepSig Inc. and provided under a Creative Commons lic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 221
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8693,
     "status": "ok",
     "timestamp": 1563489014772,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "pYEitUXfzsnJ",
    "outputId": "aa2f18a8-f9be-4d77-fd39-562ae6181bd0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "220000\n",
      "{'8PSK': 20000,\n",
      " 'AM-DSB': 20000,\n",
      " 'AM-SSB': 20000,\n",
      " 'BPSK': 20000,\n",
      " 'CPFSK': 20000,\n",
      " 'GFSK': 20000,\n",
      " 'PAM4': 20000,\n",
      " 'QAM16': 20000,\n",
      " 'QAM64': 20000,\n",
      " 'QPSK': 20000,\n",
      " 'WBFM': 20000}\n"
     ]
    }
   ],
   "source": [
    "dataset = load_RML201610A_dataset(path=data_path)\n",
    "print(len(dataset))\n",
    "pprint(dataset.get_examples_per_class())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 765
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 9907,
     "status": "ok",
     "timestamp": 1563489015997,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "ZNvKWievzsnO",
    "outputId": "63dd8f28-b69e-4df9-d3fb-966a0aad4206"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Examples\n",
      "=================\n",
      "{'8PSK': 13280,\n",
      " 'AM-DSB': 13280,\n",
      " 'AM-SSB': 13280,\n",
      " 'BPSK': 13280,\n",
      " 'CPFSK': 13280,\n",
      " 'GFSK': 13280,\n",
      " 'PAM4': 13280,\n",
      " 'QAM16': 13280,\n",
      " 'QAM64': 13280,\n",
      " 'QPSK': 13280,\n",
      " 'WBFM': 13280}\n",
      "=================\n",
      "\n",
      "Validation Examples\n",
      "=================\n",
      "{'8PSK': 700,\n",
      " 'AM-DSB': 700,\n",
      " 'AM-SSB': 700,\n",
      " 'BPSK': 700,\n",
      " 'CPFSK': 700,\n",
      " 'GFSK': 700,\n",
      " 'PAM4': 700,\n",
      " 'QAM16': 700,\n",
      " 'QAM64': 700,\n",
      " 'QPSK': 700,\n",
      " 'WBFM': 700}\n",
      "=================\n",
      "\n",
      "Testing Examples\n",
      "=================\n",
      "{'8PSK': 6020,\n",
      " 'AM-DSB': 6020,\n",
      " 'AM-SSB': 6020,\n",
      " 'BPSK': 6020,\n",
      " 'CPFSK': 6020,\n",
      " 'GFSK': 6020,\n",
      " 'PAM4': 6020,\n",
      " 'QAM16': 6020,\n",
      " 'QAM64': 6020,\n",
      " 'QPSK': 6020,\n",
      " 'WBFM': 6020}\n",
      "=================\n"
     ]
    }
   ],
   "source": [
    "train, test = dataset.split(frac=0.3, on=[\"Modulation\", \"SNR\"])\n",
    "train, val = train.split(frac=0.05, on=[\"Modulation\", \"SNR\"])\n",
    "\n",
    "print(\"Training Examples\")\n",
    "print(\"=================\")\n",
    "pprint(train.get_examples_per_class())\n",
    "print(\"=================\")\n",
    "print()\n",
    "print(\"Validation Examples\")\n",
    "print(\"=================\")\n",
    "pprint(val.get_examples_per_class())\n",
    "print(\"=================\")\n",
    "print()\n",
    "print(\"Testing Examples\")\n",
    "print(\"=================\")\n",
    "pprint(test.get_examples_per_class())\n",
    "print(\"=================\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 221
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 9899,
     "status": "ok",
     "timestamp": 1563489015999,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "xPb0PiN9zsnR",
    "outputId": "479bb7fb-0b40-4216-a03f-1741b2a30400"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WBFM: 0\n",
      "AM-DSB: 1\n",
      "AM-SSB: 2\n",
      "CPFSK: 3\n",
      "GFSK: 4\n",
      "BPSK: 5\n",
      "QPSK: 6\n",
      "8PSK: 7\n",
      "PAM4: 8\n",
      "QAM16: 9\n",
      "QAM64: 10\n",
      "\n"
     ]
    }
   ],
   "source": [
    "le = Encoder([\"WBFM\",\n",
    "              \"AM-DSB\",\n",
    "              \"AM-SSB\",\n",
    "              \"CPFSK\",\n",
    "              \"GFSK\",\n",
    "              \"BPSK\",\n",
    "              \"QPSK\",\n",
    "              \"8PSK\",\n",
    "              \"PAM4\",\n",
    "              \"QAM16\",\n",
    "              \"QAM64\"],\n",
    "             label_name=\"Modulation\")\n",
    "print(le)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 350
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 10198,
     "status": "ok",
     "timestamp": 1563489016311,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "Xd0zIGl7zsnT",
    "outputId": "aedeb7a5-d2c8-4d8b-9196-d5ee5a32bc6e"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a sample of the data\n",
    "# You can choose a different sample by changing\n",
    "idx = 10\n",
    "snr = 18.0\n",
    "modulation = \"8PSK\"\n",
    "\n",
    "mask = (dataset.df[\"SNR\"] == snr) & (dataset.df[\"Modulation\"] == modulation)\n",
    "sample = dataset.as_numpy(mask=mask, le=le)[0][idx,0,:]\n",
    "t = np.arange(sample.shape[1])\n",
    "\n",
    "title = \"{modulation} Sample at {snr:.0f} dB SNR\".format(modulation=modulation, snr=snr)\n",
    "fig = plot_IQ(iq=sample, title=title)\n",
    "if fig_dir is not None:\n",
    "    file_path = \"{fig_dir}/{modulation}_{snr:.0f}dB_sample.pdf\".format(fig_dir=fig_dir,\n",
    "                                                                       modulation=modulation,\n",
    "                                                                       snr=snr)\n",
    "    print(\"Saving Figure -> {file_path}\".format(file_path=file_path))\n",
    "    fig.savefig(file_path, format=\"pdf\", transparent=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WPWtP6dJzsnV"
   },
   "source": [
    "### Creating a Neural Network Model\n",
    "We are going to recreate a Convolutional Neural Network (CNN) based on the \"VT_CNN2\" Architecture.  This network is based off of a network for modulation classification first\n",
    "introduced in [O'Shea et al.] and later updated by [West/Oshea] and [Hauser et al.]\n",
    "to have larger filter sizes.\n",
    "\n",
    "#### Citations\n",
    "##### O'Shea et al.\n",
    "T. J. O'Shea, J. Corgan, and T. C. Clancy, “Convolutional radio modulation recognition networks,” in International Conference on Engineering Applications of Neural Networks, pp. 213–226, Springer,2016.\n",
    "\n",
    "##### West/O'Shea\n",
    "N. E. West and T. O’Shea, “Deep architectures for modulation recognition,” in IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1–6, IEEE, 2017.\n",
    "\n",
    "##### Hauser et al.\n",
    "S. C. Hauser, W. C. Headley, and A. J.  Michaels, “Signal detection effects on deep neural networks utilizing raw iq for modulation classification,” in Military Communications Conference, pp. 121–127, IEEE, 2017."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "g4sYHdC8zsnW"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"_fig/CNNDiagramSmall.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "QHzcQJGyzsnY"
   },
   "outputs": [],
   "source": [
    "class MyCNN(Model):\n",
    "    def __init__(self, input_samples: int, n_classes: int):\n",
    "        super().__init__(input_samples=input_samples, n_classes=n_classes)\n",
    "        # Batch x 1-channel x IQ x input_samples\n",
    "        # Modifying the first convolutional layer to not use a bias term is a\n",
    "        # modification made by Bryse Flowers due to the observation of vanishing\n",
    "        # gradients during training when ported to PyTorch (other authors used\n",
    "        # Keras).\n",
    "        self.conv1 = nn.Conv2d(\n",
    "            in_channels=1,\n",
    "            out_channels=256,\n",
    "            kernel_size=(1, 7),\n",
    "            padding=(0, 3),\n",
    "            bias=False,\n",
    "        )\n",
    "        self.a1 = nn.ReLU()\n",
    "        self.n1 = nn.BatchNorm2d(256)\n",
    "\n",
    "        self.conv2 = nn.Conv2d(\n",
    "            in_channels=256,\n",
    "            out_channels=80,\n",
    "            kernel_size=(2, 7),\n",
    "            padding=(0, 3),\n",
    "            bias=True,\n",
    "        )\n",
    "        self.a2 = nn.ReLU()\n",
    "        self.n2 = nn.BatchNorm2d(80)\n",
    "\n",
    "        # Batch x Features\n",
    "        self.dense1 = nn.Linear(80 * 1 * input_samples, 256)\n",
    "        self.a3 = nn.ReLU()\n",
    "        self.n3 = nn.BatchNorm1d(256)\n",
    "\n",
    "        self.dense2 = nn.Linear(256, n_classes)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv1(x)\n",
    "        x = self.a1(x)\n",
    "        x = self.n1(x)\n",
    "\n",
    "        x = self.conv2(x)\n",
    "        x = self.a2(x)\n",
    "        x = self.n2(x)\n",
    "\n",
    "        # Flatten the input layer down to 1-d by using Tensor operations\n",
    "        x = x.contiguous()\n",
    "        x = x.view(x.size()[0], -1)\n",
    "\n",
    "        x = self.dense1(x)\n",
    "        x = self.a3(x)\n",
    "        x = self.n3(x)\n",
    "\n",
    "        x = self.dense2(x)\n",
    "\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 323
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 10169,
     "status": "ok",
     "timestamp": 1563489016317,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "5XcGfWWEzsnZ",
    "outputId": "77e3826e-b564-4348-e31a-54350528f82d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MyCNN(\n",
      "  (conv1): Conv2d(1, 256, kernel_size=(1, 7), stride=(1, 1), padding=(0, 3), bias=False)\n",
      "  (a1): ReLU()\n",
      "  (n1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "  (conv2): Conv2d(256, 80, kernel_size=(2, 7), stride=(1, 1), padding=(0, 3))\n",
      "  (a2): ReLU()\n",
      "  (n2): BatchNorm2d(80, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "  (dense1): Linear(in_features=10240, out_features=256, bias=True)\n",
      "  (a3): ReLU()\n",
      "  (n3): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "  (dense2): Linear(in_features=256, out_features=11, bias=True)\n",
      ")\n",
      "----------------------\n",
      "Trainable Parameters: 2914299\n",
      "Fixed Parameters: 0\n",
      "Total Parameters: 2914299\n",
      "----------------------\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model = MyCNN(input_samples=128, n_classes=11)\n",
    "print(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "cdWw1puezsnb"
   },
   "source": [
    "### Implementing a Training Loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "I39flOAMzsnb"
   },
   "outputs": [],
   "source": [
    "class MyTrainingStrategy(object):\n",
    "\n",
    "    def __init__(self, lr: float = 10e-4, n_epochs: int = 3, gpu: bool = True):\n",
    "        self.lr = lr\n",
    "        self.n_epochs = n_epochs\n",
    "        self.gpu = gpu\n",
    "\n",
    "    def __repr__(self):\n",
    "        ret = self.__class__.__name__\n",
    "        ret += \"(lr={}, n_epochs={}, gpu={})\".format(self.lr, self.n_epochs, self.gpu)\n",
    "        return ret\n",
    "        \n",
    "    def __call__(\n",
    "        self, model: nn.Module, training: Dataset, validation: Dataset, le: Encoder\n",
    "    ):\n",
    "        criterion = nn.CrossEntropyLoss()\n",
    "\n",
    "        if self.gpu:\n",
    "            model.cuda()\n",
    "            criterion.cuda()\n",
    "\n",
    "        optimizer = Adam(model.parameters(), lr=self.lr)\n",
    "\n",
    "        train_data = DataLoader(\n",
    "            training.as_torch(le=le), shuffle=True, batch_size=512\n",
    "        )\n",
    "        val_data = DataLoader(\n",
    "            validation.as_torch(le=le), shuffle=True, batch_size=512\n",
    "        )\n",
    "\n",
    "        # Save two lists for plotting a convergence graph at the end\n",
    "        ret_train_loss = list()\n",
    "        ret_val_loss = list()\n",
    "        \n",
    "        for epoch in range(self.n_epochs):\n",
    "            train_loss = self._train_one_epoch(\n",
    "                model=model, data=train_data, loss_fn=criterion, optimizer=optimizer\n",
    "            )\n",
    "            print(\"On Epoch {} the training loss was {}\".format(epoch, train_loss))\n",
    "            ret_train_loss.append(train_loss)\n",
    "\n",
    "            val_loss = self._validate_once(\n",
    "                model=model, data=val_data, loss_fn=criterion\n",
    "            )\n",
    "            print(\"---- validation loss was {}\".format(val_loss))\n",
    "            ret_val_loss.append(val_loss)\n",
    "\n",
    "        return ret_train_loss, ret_val_loss\n",
    "\n",
    "    def _train_one_epoch(\n",
    "        self, model: nn.Module, data: DataLoader, loss_fn: nn.CrossEntropyLoss, optimizer: Adam\n",
    "    ) -> float:\n",
    "        total_loss = 0.0\n",
    "        # Switch the model mode so it remembers gradients, induces dropout, etc.\n",
    "        model.train()\n",
    "\n",
    "        for i, batch in enumerate(data):\n",
    "            x, y = batch\n",
    "\n",
    "            # Push data to GPU if necessary\n",
    "            if self.gpu:\n",
    "                x = Variable(x.cuda())\n",
    "                y = Variable(y.cuda())\n",
    "            else:\n",
    "                x = Variable(x)\n",
    "                y = Variable(y)\n",
    "\n",
    "            # Forward pass of prediction\n",
    "            outputs = model(x)\n",
    "\n",
    "            # Zero out the parameter gradients, because they are cumulative,\n",
    "            # compute loss, compute gradients (backward), update weights\n",
    "            loss = loss_fn(outputs, y)\n",
    "            optimizer.zero_grad()\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "\n",
    "            total_loss += loss.item()\n",
    "\n",
    "        mean_loss = total_loss / (i + 1.0)\n",
    "        return mean_loss\n",
    "\n",
    "    def _validate_once(\n",
    "        self, model: nn.Module, data: DataLoader, loss_fn: nn.CrossEntropyLoss\n",
    "    ) -> float:\n",
    "        total_loss = 0.0\n",
    "        # Switch the model back to test mode (so that batch norm/dropout doesn't\n",
    "        # take effect)\n",
    "        model.eval()\n",
    "        for i, batch in enumerate(data):\n",
    "            x, y = batch\n",
    "\n",
    "            if self.gpu:\n",
    "                x = x.cuda()\n",
    "                y = y.cuda()\n",
    "\n",
    "            outputs = model(x)\n",
    "            loss = loss_fn(outputs, y)\n",
    "            total_loss += loss.item()\n",
    "\n",
    "        mean_loss = total_loss / (i + 1.0)\n",
    "        return mean_loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 10154,
     "status": "ok",
     "timestamp": 1563489016320,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "WajMNLpTzsnc",
    "outputId": "94989e07-f1b6-4e6c-b5a8-50e6338b8972"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MyTrainingStrategy(lr=0.001, n_epochs=3, gpu=True)\n"
     ]
    }
   ],
   "source": [
    "trainer = MyTrainingStrategy(gpu=gpu)\n",
    "print(trainer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "69T8pBd0zsne"
   },
   "source": [
    "### Putting it All Together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 119
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 234194,
     "status": "ok",
     "timestamp": 1563489240373,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "at04fc4Hzsne",
    "outputId": "182088e4-af59-4738-f2c0-943fc9738b20"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On Epoch 0 the training loss was 1.4342133136062356\n",
      "---- validation loss was 1.2560550197958946\n",
      "On Epoch 1 the training loss was 1.2019110159440474\n",
      "---- validation loss was 1.1962882988154888\n",
      "On Epoch 2 the training loss was 1.1413198417716928\n",
      "---- validation loss was 1.172751747071743\n"
     ]
    }
   ],
   "source": [
    "train_loss, val_loss = trainer(model=model,\n",
    "                               training=train,\n",
    "                               validation=val,\n",
    "                               le=le)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 350
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 234190,
     "status": "ok",
     "timestamp": 1563489240380,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "MRO2b-Ndzsnf",
    "outputId": "c0ec81d3-778e-4088-9357-c03d47aa2894"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = \"Training Results of {model_name} on {dataset_name}\".format(model_name=\"MyCNN\", dataset_name=\"RML2016.10A\")\n",
    "fig = plot_convergence(train_loss=train_loss, val_loss=val_loss, title=title)\n",
    "if fig_dir is not None:\n",
    "    file_path = \"{fig_dir}/training_loss.pdf\"\n",
    "    print(\"Saving Figure -> {file_path}\".format(file_path=file_path))\n",
    "    fig.savefig(file_path, format=\"pdf\", transparent=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "XbwKjYygzsnh"
   },
   "source": [
    "### Testing the Trained Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 249181,
     "status": "ok",
     "timestamp": 1563489255384,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "uAZ3mZEzzsnh",
    "outputId": "3492e760-36a1-4410-bcec-ed281baec99e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall Testing Accuracy: 0.5430\n"
     ]
    }
   ],
   "source": [
    "acc = compute_accuracy(model=model, data=test, le=le)\n",
    "print(\"Overall Testing Accuracy: {:.4f}\".format(acc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 350
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 264339,
     "status": "ok",
     "timestamp": 1563489270553,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "v40LSsC4zsni",
    "outputId": "548992da-3b6e-47cd-e5e1-4dab8f149a26"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc_vs_snr, snr = compute_accuracy_on_cross_sections(model=model,\n",
    "                                                     data=test,\n",
    "                                                     le=le,\n",
    "                                                     column=\"SNR\")\n",
    "\n",
    "title = \"Accuracy vs SNR of {model_name} on {dataset_name}\".format(model_name=\"MyCNN\", dataset_name=\"RML2016.10A\")\n",
    "fig = plot_acc_vs_snr(acc_vs_snr=acc_vs_snr, snr=snr, title=title)\n",
    "if fig_dir is not None:\n",
    "    file_path = \"{fig_dir}/acc_vs_snr.pdf\"\n",
    "    print(\"Saving Figure -> {file_path}\".format(file_path=file_path))\n",
    "    fig.savefig(file_path, format=\"pdf\", transparent=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 380
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 280776,
     "status": "ok",
     "timestamp": 1563489287004,
     "user": {
      "displayName": "Bryse Flowers",
      "photoUrl": "https://lh3.googleusercontent.com/-dfqbkjv2TMY/AAAAAAAAAAI/AAAAAAAAAAg/nmDc_6TAqq4/s64/photo.jpg",
      "userId": "13954389111173404421"
     },
     "user_tz": 240
    },
    "id": "4V8j3KfYzsnj",
    "outputId": "aec4d7b6-0cd1-4de0-fe5b-d0f055fb7ac7"
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaEAAAFrCAYAAAB42zYQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzsnXd4FcXXgN+QQhEINTeUgLQ7VKWLikKCJEASQpNuL4iCoIhSRBEFBUUFKdJE1J9dUHqRDoKg0oI4dEICuaEFkpCe/f7YvcltaehNgG/e59ln7+6ePWfOzN49M7OzOx6apqFQKBQKRXFQorgToFAoFIr/v6ggpFAoFIpiQwUhhUKhUBQbKggpFAqFothQQUihUCgUxYYKQgqFQqEoNryKOwH/nxFCdATmAGbAEygnpUz8F/oeBxYDW6WUHf+DJN50CCEmAm8CS6SUj7vJRkf+w3JRKBS5o4JQLggh7gfGAPcBdwAxwGpglJQy7T8yMwdoBKwFJPBv9f4NzACO/0s9uSKEuBM4ZWxeBWpIKZOMY68DbxvHChwkhBDWl9XqSClP5yO+G93HPQVPdaHJt1yEEFuADsbmI1LKr4z9tYGTGL0MUkqPghrN75qzyaf9QEsppSaE6AEsA85IKe809JwGagOxQF0pZbIQojmwr7Bp+rcIIT4HHrPZdRk4AIyRUu4xZB5HrzwBbJRSPmRz/q9AJ2PzCSnl5zbyB6SUzV3YnAyEAXcauw4A46SUO2xkAoFpQDPgCvClIZNhHH8X6IVeEcm27WCnGfAe8AD6vfQk8JytHQf5h4CJQCugFC4qi0KIu4GPgXbAdWAp8LKUMsFGxgP9P1jb2NVYSnnElc1bARWEXCCE6A98hV4LPgDsRb+gnwMm8O+DhRXrBf6ClPLkv1Vm/KndeXN2xBcYACwUQngCz7rTmBDCW0q5Fj04uJPClstz6NcL6HlQ6G7uQl5zzYGe6DeovPAHhgIfFjY9bmA/sB39hh0I/AxUdyEXJIRoIKU8JoQwA0E3YGsQegXpR6CtYXO1EKKhlPKcUVFYg57X3wFtgNFAJjDW0HEPcAaobCx2GGnbCZQDfgVOAAKomUe6zEAZIBJo7UJnOWADUBX4CagDPA2URf+fWXmAnAAE8AgwLg+7NzUqCDkghCgDzEa/QL8CHpNSZhnH6qHXThBC3IVek2oNaOg19FeklNI4fhr9QhkL9EO/ALcCg6SUV2xqtQAnhBBngI4YrQxrbdWmJvmWlHKiEKIlekvgbvSb3WlgtpRyrqvuOCHEg8A7wF1G2jcDo6WU54zj1nQMB14EqgG/AE8WoMV3Bf0mtxAIBQKMfRVt8rMa+h+9MXrQigfWAcOklPEO+XBKCAH6TaojerfbT0AWEA4MNVpibwJLgCcMXZ2B16SU02xaY2uklN0cE2zUIp8x/K0LnAe+Bd6RUqa4KhdrCyOPPLjfqBX/AzzlIg/GAZOBBVLKZ419r6HXohcAIynANWeDBrwphFiWR7qscq8KIT7NR86azjvQa+q9ABN6i3q6lPJL4/hEcsrkuiEXi177/zUf9VullCONAHAaqCaE8JNSxtnIxAMV0APvKGPtYbO/oPSWUv5ppLmskcZy6K2LpcBLQElglpRyuBCiPnAMGC6EmCylTJRSBhnn78dFEEKvGJTD+F8WJFFSyjnAHCHESFwEIfRrpyqwUkrZx0j7BaCvEGK8TYVosLHeB7QABhrHb8nP36iBCc7cD1Qyfr9jvRkASClPGN0i1dADSgh68NmH3vzfIoSo6KDvDeAgkAJ0BV429s+wkVkMfFbA9M0E2gPrgW/Qb3itXAkagfJXQ34tes1uILBWCOHtIP4W8Bv6jXAQeu0qP5YALYUQbdGDUQLOtfNyQGlgBfoN94qh/z3juGM+zACibfb1Buqhd5fE2io2/nRPGDonCiEi0G8Ol4Anc0nzUGAeesD8Dr0iNt4mHYUtly/Rg+RQcm7enzvIfI5ey+4jhChp7Isw1l9TgGvOQd8P6JWKPvmk7QcjPS/kI2dlMfCKkdbvgQbAF0KIAQ5yvdFbMZHoZVOga1cIUQK9hQFwDr2cbDkDbAEeN/5Hj6NXms4UMP0AWAOQgQdgvdat11ULY/2HIX8cPdDdAdQvoBlrF2EbIcQlIUSsEOIToxJ7ozimKxG9YlMCvbwxrh9ruY9Cv/ZrAw/+C7vFigpCzvjZ/M7t4n8EvWa2RUoZJqUMRu9u8AcedpB9U0r5GDDL2G4BIKUcaSMzSUo5qYDps/6hVqPfMIOAIbnIPmfIL5FS9ke/UOPQ+8EDHWWNZzg/2KYzHxYAGcAUIBj9hmz3AF9KeRS9i+oIeu35sHEoyDjumA8jjZuClZPAPVLKZ42uODuklDHA8+iBbhngY/gS6yhrMMxYj5BSPklOMHhaCFHqBsrlFHprbDB6Dfsy+g3cNo3n0Lt/KgKhQgg/9JtxDLCNgl1ztnwCXERvleT1H/4O/TnhaPQunVwx0mS9djsbeWPt4hnuIH4YvfVpDU4BQogq+aR5BHpw+w49GHSXUma6kJuLHpC/Q8+vufnozRUhhBd6BcAH+N76DAo9MIP9tZpkrP0LqN7q733oFa8M9Gtryo2mt4DpCkXPlzj0ivBKY/9gblFUEHLGtnugdi4ydxpr24eB/+Ryzj5jHW+s87wZuMDTYftl9JbVQuAQ+k3vxYKkU0qZjn5T/6/SeQ5Yjl4rLIGLG4ZRi/4LmIpec+thHKpaAP0Ae6wPi/Pge/QuHg9jndezkjuNtbXsrOVWAr11dCPMRW/x3YPemkhxIbPQWA9GbzWXAL4xWj0FueZsSQTeB5oAffOQy0Jv4VYlJ/jmxp3GOllKaQ2EuV3T+41WaLzNvvyul/3oLabr6M9NOuYitwywoAe5WPRnR4XGaJH8gt46XQU8anPY4iLN1t+5VV4cuWCsp0gpn0GvgAB0L3xqC5Uua7BZYVw71i7Zh21a2bcUKgg58xt6ExfgdaMLAdBHPhndWKeNXQ1tzhPG2rEma72BFqS/1lrrQQhR3vjZ1EHmDynl3ei1oY7oLZ33jFqfI3bpNNJe9z9Ipy3WwLNDShnp4ng/Yz0PvR/eum07Qsva/eTqekwtQBpeRr+JphjrUXnInjbW1rKzllsWcLYAtlyxCohCz7vcnr+sQr+RdCNntNjXxrog15wjs9CDV15BCPSW7aECyJ021qWFELWs5o31f3GtbJVSPoXebQnwthDC5ChkVJSsAXuhsV0ohBCV0LuhuwFfAD2klLbX0X5j3daQb4D+vDKJgo8sPZjL/kRDp7cQoqGxFPQ+65iucujXqQYcEkJUQPcJ4Cnj+aW1wuWL/tz0lkMFIQeM4cbD0W9Kg4G/hBDzhRArgaPo/cZfoY++CRRCLBdCrEXvvrKgj8i5UdsXyOm3/koI8T36SChbVgghNqLXhJ9Hv7EnoHd1ODIf/YbxmBDiG/Tmux96d8qWG02nAxuBh7AfhmuLtXbXDT1gzXAhY735zxJCfGw8IC8QxoCAd9CfL9yHXjt/29jvitnGeoYQYhF6bRlgkZTSVQsmX4waaTfgAYeuRFuZDPRnaCXRu0X/kVJah0wX5Jpz1HcdfWBMnsOtjRbLWwWQiyPn2t0ghPiMnK6lWa7PuiG+Qh/2Xhp9QIYrpqO3hPIb1ddACLHbZvnC2L8CuBc9sMcDHxjXVRfj+Efoow2HCCG+Qq8ggD7AxxpExhiDgqwB+WkhxOdCiPbG9jRjPVYIscAmrUuMdQ301vYRoLyhs72hc6Ah09DQOcbYXoh+HXcTQvyI/n8tCfwgpTyBXpEoCVxDv26tyzHj/II8x73pUEHIBVLK/6E/M1mNfhE+hv7eyALgutHHH4g+OOB+9JEuq4BAKeXlf2n+KfQuswfQb0q/OBzfgv5QeBB6//BeoJ+rkTFSyv3oz2p2od8k66CPBOvyX73rJKXUpJQb8xjK/Bb6w+Wq6AMoXPWZv4YefLugPzsoXRDbQggf9OdQJdGf8ewzzi8JfGkcd2QOevCOQX+mkQW8a5x3w0gpD0spd+Yjtsjm99e2B/K75nLRN4eCdR8tJaeWnRdPot+gfdBbrCfR34/5Os+zCoERsK3XwFCbFr+tzBUp5a9SyiuOxxwog94Fal3uMvbXMNYV0buqRxhLO0P/afT/w37052Dl0QPf6za6u6CXgXWg0f3Gdn1Dx2b0m36csU5Gf/b2UR7prW/oaGNsm4ztLobOBPTguxX9v30nehfmM4a8tStunpSyh3WxOd5VCOFqJN9NjYea1E6hKDqEEEfQu1jqG7VbheL/Neo9IYWiCBBCBKPXcgWwTgUghUJHBSGFomgYiN6d8gc5D+cViv/3qO44hUKhUBQbamCCQqFQKIoNFYQUCoVCUWyoZ0LOqP5JhUJxoxTZNBkApVsMK/T9KnnfrCJNY36oIOSCjf9cdJvuTg31T071/uzPfCRvnJ+e1L9nuufkVbfob1vXF4DkQr/LXnBKG98IuJqclbfgv8C3tN4RkJLfR4FukFLGv6so8ul2seHusnCXflsbisKhsk2hUChuVTxu/ScqKggpFArFrYrHTdWzdkOoIKRQKBS3KqolpFAoFIpiQ7WEFAqFQlFsqJaQQqFQKIqN26AldOuHUTdy+K/dTBzanzeH9GXdj186Hd/4y7dMemEQ77z4KDMmvMilOPuv6idfT2Lckz34bt70XG00r1Gemb2bMKtPE3re5TTHVzbtalfgpydbUa+yPoW9VwkPXmhfmw97NGZ6j0Y08c99YsuDf+xi9NN9GPVkL1Z8v8Tp+Jql/+O1Z/sxbuhA3h3zPBct57OPbd+wklee6s0rT/Vm+4aVTucC7NyxjYiwEMK7duazhfOdjqelpfHqqJGEd+3M4AEPExMTnX1s0YJ5hHftTERYCL/t3J6rD7t2bqdPRFd6hYew5LMFLm2Me/UleoWH8MTgfpyLiQHg8KGDDOrbk0F9ezKwbw82b9qQq42d27fRPTSEsC6dWbTAtR+jR40krEtnBvV39iOsS2e6h4awc4drP240n+Ljr/D0E49wb5sWvDs579nGbxsb7i4LN+svMjxKFH65ySi2FAkhPhJCjLTZXieEWGizPV0I8bIQIlkIsV8IcUAI8ZsQQhjHOwohrhrH9gshfjX2TxRCaEKI+ja6Rhr7Whc0fVmZmXw3bzrD3pzOhFn/44/tv3I+6pSdTM06DRjz4SJen/kFLe4LZNnns+2Or/jfAuo3cZyTLocSHvDMvbWYvP4YI5f+Tfu6lahZoZSTXCmvEoQ28eNoXM7U8w8J/X2jl3/+m7fWHuOxtjVdviWXlZnJktnTGP32DKbO+45dW9YRc8Z+6p/a9QSTZi5hytyvadM+iG8/+wSAxISrLPt6IRM//oy3Pl7Msq8XkpRwze7czMxM3n1nErPnLmTp8lWsXb2SEyfs53VbtvQHypcvz4o1Gxj8yOPM+PADAE6cOM66Nav46ZdVzPl0IVPefovMTOe5+TIzM5n27tvMmD2f75auYN3aVZx0sLF82Y+UK+/L0hXrGDD4UWbN0G3Uq9+AJV//wP++X8bM2fN57+2JZGQ4vyySmZnJlMmTmPPpQpZZ/Tju4MdPuh8r125g8KOP87HVj+PHWbt6FUuXr2LOvIVMecfZj3+TTyV9SvLC8BG8/MqrTum+XW24uyzcqb9I8fAo/HKTUZxhcSf6TJgY099WAZrYHL8PfdrjE1LK5saU1kuAcTYy241jzaWUD9nsPwT0t9l+GH020QJz+tgRqvrXpIp/Dby8vWn1QCcO7LGv9Yi7WuFTUg8adUQT4i9dyD4WdfwfEuIv06h5G3KjfpU7iL2WgiUhjYwsjR0nr9CmVgUnuQGtqrPsYCxpmTkvR9esUIrI8wkAXEvJICktk3pVyjide+LoYUzVa+JXTfejXYdg/ty9zU6m8d2tKVlK96N+w2ZcvhgHwKE/d9O0xT2ULefLHeXK07TFPRz8c5fduZGHDhJQqzY1AwLw9vYhpGsoWzZttJPZsmkT4RE9AXgoOIQ9v+9C0zS2bNpISNdQfHx8qFEzgIBatYk85Dxr8uHIg9QMqEWNmrqN4JBubNuyyU5m65ZNhIZHABD0UAh79+xG0zRKlS6Nl5fe65yaloZHLn/CyEMHCQgw/PDxoUu3ULZstvdj86ZNdDf86Bwcwp7dhh+bN9Klm+5HzZoBBAQ4+/Fv8ql0mTK0aNkan5IlXab9trTh7rJwo/4iRbWE/hW/oU/BC3rwiQQShBAVhRAl0WeVdJyltDz6lL358TMQASCEqIc+FXehPoMQf+kCFav4ZW9XrOzHVZsg48hvG1bQpFU7ALKysvhp8Sx6PTEsTxuV7vDmYlLOa+iXk9KoXMbbTqZO5dJUucOHv6LtWyBnLifTulYFSniAX1kf6lUuQ5U7nCcSvXLxApWq5nTzVarix5U8/Ni6fjl3tdaL5fLFC1SqmpMHlar4cfmi/blxcRb8/f2zt00mE3FxFhcy1QDw8vKibNlyxMdfKdC5ABfi4jDZyPmZTFxwkLsQZ8HkYONqfDwAkYcO0K9XGAP7RPDa629mByW7NFos+Fezt2Gx5ONHOd0Pi8Vilz6Tv4k4l+feWD4VlNvGhrvLws36i5TboCVUbAMTpJTnhBAZQoha6K2eXejT8t6LHjQOoc8DX08IsR8oR850vlYeMI6BPg/7ZOP3NeCsEKIpejD6DnjCXb78vmUdZ47/w0tT9O64bWuW0qTVvXZB7EbwAB5vG8Cs7aedjm08epEavqWY1r0RFxLTkHFJZP3LaTl2blrDqaNHGD/t03+l52ajabO7+W7pSk6dPMFbE8Zy3/0PUjKf2rhCcUtwE7ZsCktxj477DT0A3Qd8iB6E7kMPQjsNmRNSyuYAQoh+wHyMOdnRu+PCctH9LXqXXAjQiUIGoQqVq3LF6JYCuHIpDt/KVZ3k/tm/l7U/LOHlybPx9tZbIqf+ieT43wfZtmYpqcnJZGakU7JUGXo8Zj+X2eWkdKrckdPyqXSHD5eu57SMSnuXoFbF0kzqatbTVNqbMZ3r8d6GE5y4dJ3P9+Q8LJ0cKjh3LdUpfRWrVOXyhZya2uWLcVR04Ufkvj0s/3Yx46Z9ireP7kelKlU5cvAvu3Mb3dXS7jw/PxOxsTkDMiwWC35+Jhcy5zH5+5ORkUFiYgIVKlQs0LkAVf38sNjIxVksVHWQq+pnwhJ7HpMpx4ZvBfuuzTp161G6TBlOHD9G4yZN7dNoMhF73t6GyZSPHwm6HyaTyS59llgLfi7PvbF8Kii3jQ13l4Wb9RcpN2HLprAUdxi1Phdqht4dtxu9JWR9HuTIcuDBAupeCTwCREkpr+Un7EjtBg2JOx/NRcs5MtLT+XP7Ru5q295O5uzJo3w9dxpDx0+lnM2f7IlRE5m8aCnvLPiJXk+8wD2BXZwCEMDxi0lU8y2FX1kfvEp40L5uRf6Iis8+fj09iye+PsDQHyIZ+kMkRy8kZQcgH08PSnrpxXdX9XJkaRrR8SlONuqaGxN77ixxsTFkpKeze+t6WrZ7wE7m9HHJ4pnv8tKbH+BboVL2/mat2nHor90kJVwjKeEah/7aTTOjy9FKk6bNiIo6TUz0WdLT01i3ZhUdAoPsZDoEBrHil2UA/Lp+HW3uaYeHhwcdAoNYt2YVaWlpxESfJSrqNE2b3eXkQ+MmzTgbdYaYmGjS09NYv241D3QItJN5sEMgq1b8AsCmX9fRuo1uIyYmOnsgwvlzMZw5fZLq1Ws42bD6ER19lvS0NNaudvajY2AQyw0/NqxfR1sbP9au1v2IzsWPf5NPBeV2s+HusnCX/iLlNngmdDO0hF4BTkopM4HLQogK6M+IngEcxx23B04URLGU8roQ4jXg6I0kzNPTi37PvsSsiS+TlZXJvZ3CqF6rLiv+t4Da9Rty1z0PsHTxbFKTk1k47XUAKlYxMfT1aQW2kaXBwl1RTAhpQAkPDzYdu8jZ+BT6t6jG8YvX+eNs7l/B9i3tzYSQBmiaxuXr6czcejpXPx4dOpr3X3+RrMwsHgwOp2btevz0xTzqmBvRst2DfLtoJikpyXwyZSwAlav68/LE6ZQt50uPAU/xxojHAeg58GnKlvO10+/l5cWYcW8wdMjTZGVmEtGzN/XrN2DOrBk0btKUjoGd6NmrD+PHjia8a2fK+/oy9f2PAKhfvwGdQ7rSq3s3PL08GTv+DTw9PZ188PLyYvSY13lx6NNkZWURHtGLevUbMG/OTBo1bsqDHYPo3rMPb45/jV7hIZQv78vkqfqw+AP7/mTJZwvw8vKmRAkPXh37BhUqOtfKvby8GDv+DYY++zRZWZn0MPyY/ckMmjRpSsegTvTs3YfxY0YT1kX3Y9oHOX4Ed+lKz+7d8PT0ZNzrzn78m3wC6BocRFJiIunp6Wze9Ctz539GvXr1b1sb7i4Ld+ovUm7CoFJYinV6byGEJ/pAg5lSyteNfZ8D90ophRDiTuAIINEfkaQBw6SUvwshOgKvOHbHCSEmAolSyg8c9m8x5P/IJ1mamsohb9RUDgVDTeVQeBu3wVQORTufUODbhZ9PaPOEm6oPr1hbQkbrp7zDvsdtfp8GSudy7hZgi4v9E3OR73iDyVQoFIqbk9ugJXTre6BQKBSKW5bifiakUCgUihvlNhgdp4KQQqFQ3KrcBt1xKggpFArFrYpqCSkUCoWi2FAtIYVCoVAUG7dBS6hY3xO6SVEZolAobpSifU+oy4eFf09o7cs3VeRSLSGFQqG4VbkNWkIqCLkgJj7NbbprVNA/Dur/zI9usxG7oA8Af5wq9CfzCkTrOvr7xUXw9jmJqe5rmJYtqf+Bb4cvJlxPd18+lfF2bz6B+79oUIRfTCha1DMhhUKhUBQbqiWkUCgUimJDtYQUCoVCUWyoIKRQKBSKYsNN3XFCiC7ADMATWCilfM/h+EeAdVKvMoCflLKCcSwTfWZs0Odz656XLRWEFAqF4lbFDS0hY4qd2UBnIBrYK4RYLqX82yojpXzJRn440MJGRbJ1NuyCcOu35dzInl07ePThcAb37sbXSxY6HU9LS2PS+FcY3Lsbzz85kNhzMQBkZKTz3lvjeWpgTx7v152vP3c+10pgExM73g5h1+QuDOsiXMp0b12TbW8Fs/Wtzsx5um32/gm9m7H1rc5smxTMO/3vdnnugT9+45WnevPyEz1Z/t3nTsePHPqL8S8M5pFu7fh9+0a7Y98s+oTXhvTjtSH92LV1fa4+7Ny+je6hIYR16cyiBfOdjqelpTF61EjCunRmUP+HiYnJmZZ80YJ5hHXpTPfQEHbu2J6rjd92bKdXeBciQoNZvMi1jTGjXyIiNJhHB/blnGFj966dDOrXi769whnUrxd7ft9dbH7s3LGNiLAQwrt25rOFrvW/Omok4V07M3iAs/7wrp2JCAvht52559POHdvpEdaF7l2Dc7Xx2qiX6N41mEcG5ORTfPwVnnniUe5r05L3Jk/KVT8UTXm7vSyKwIciwcOj8Ev+tAWOSylPSinTgG+BiDzkBwDf3LAPmqa5bTGbzT3MZrNmNpsbGtt3Gtvv2MhUMZvN6WazeVYuOk6bzeZDxvK32Wx+x2w2lzKOlTCbzTPNZnOkcXyv2Wyu43DefmMdUcB0a9FXUrUzF69rHQKDtD2Rx7VTcYlal25h2o4//9air6RmL7MXLNFGvTZei76Sqn3x3c/as88P16KvpGpLvl2qDXn+RS36Sqp2/Hy89kCHjtofh09q0VdSNSump3/Qqj3zg3bKkqC1GbNaqznkRy0y6or2wIS1munpH7KXduPWaAfPXNbML/6smZ7+QWvy0nLN9PQPWui7m7Tfj13Qqj2j69l7/KLWc9oWzfT0D9k2fj92WWvfIVBbtfOwtkte1B4KCdWWbd6n7T15NXtZ/dsR7adf/9CeHDpSm7Vkafb++d+s0nr1G6ztPnZJ2/53rNYlNELbeihG23vyarb+5HRNS0zJ0II6ddKOnYzSriWlamFh4VrkkWNacrqWvXz+xVfauNcnaMnpmrb0l5XasBdHaMnpmhZ55JgWFhauXU1K1Y6ditKCOnXSElMytOT0bBNaQkqWFp+UrgUGddKOHD+jXU5I0ULDwrUDh49qCSlZ2cuiz7/Sxo6foCWkZGk/LluhvTB8hJaQkqXt3RepnYw6ryWkZGn7Dv2j3d++ffY57vbDyvU0TUtIztCCgjppR09EaVcN/YeOHNOup2nZy+IvvtLGjZ+gXU/TtKU/r9SGDR+hXU/TtEOG/vjEVO3YySgtKKiTlpCcoV1Py8mnpLQs7VpyuhYU1EmTJ85o8Ul6Ph08clRLSsvKXhZ/oedTUlqW9tPPK7Rhw0doSWlZ2sX4RG3H7r3a519+rU14c6LdOUVZ3u4uiyLwwa33VMelVI8FWmGX/HSazeY+ZrN5oc32I3ncn2ubzebzZrPZ02Zfhtls/sNsNu82m8098rPn7pbQAGCHsbZyCgi12X4YOJyPnkApZTP0CF0XmGfs7wdUB+4yjvcE4h3Oaw70AWYWJuH//H2IGjVrUb1GAN7e3gR17spv2zbbyezctpngUL27s0NQZ/7a+zuapgEeJKckk5mRQWpqKt5e3pS5w3GmcmhRpxKnLiQSdTGJ9EyNn/eeJaR5dTuZwQ/UYfHmE1y9rr9scjEhFdArDyW9PfHxKkFJb0+8PT24cC3F7twT8jCmagH4VauJl7c37Tp05s9dW+1kqvpXp1bdBng41JBiok7RsGkLPD29KFWqNAF1GnDwz11OPkQeOkhAQG1qBgTg7eNDl26hbNls36LavGkT3SN6AtA5OIQ9u3ehaRpbNm+kS7dQfHx8qFkzgICA2kQeOuhk43DkQQJq1aJmzQC8vX0I7tLNycbWLRsJ694DgE6dQ9jzu26jYaPGVPUzAVCvfgNSU1JJS3N+D8zdfkQeOkhALUO/tw8hXUPZssle/5ZNmwg39D8UnOPDlk0bCemq669RM4CAWq7zSbdRy8ZGNxc2NhIe0cPJRukyZWjRshUlS/o46S3KfCqysnCzD0XGDbSEhBDPCiH+sFme/Rcp6A/8aExQaqW2lLI1MBD4WAhRLy8FbgtCQoiyQHvgKSOhVq4e3SmzAAAgAElEQVQDR4QQrY3tfsD3BdEppUwEngN6CCEqAdWA81LKLON4tJTyiotTy6NPI15gLsbF4Wfyz96u4mfiwgWLvcyFOPz8dBlPLy/uKFuWa1fj6dCpM6VLlaZPaBADugfTd9BjlPf1dbJRrUJpzl1Ozt4+fyWZahXsJ5KtaypLPVM5lr/WkVVjAwlsot9Q/zx5md/+ucCBD8I48H4Ymw9bOBabYHfu5UsXqFzVlL1dqYqJK5cuFMj/WnUbcODPXaSmpJBwNZ6/D/7BJQf/AeIsFvyr5eSTn8mExWIvFxdnwd+/GgBeXl6ULVeO+PgrWCwWTP4555r8TcRZXNswmarlyJn8uRBnL3fBEpct4+XlRdmy5YiPj7eT2bhhHQ0bNcbHx/lG624/9HNtZEwm4uLy0V9W11+Qc63nm/zzzqe4uDgXNuzzKS+KqrzdWhZF4MPNjJRyvpSytc3i2B8ZAwTYbNc09rmiPw5dcVLKGGN9En326xbOp+XgzoEJEcBaKeVRIcQlIUQr4JJx7FugvxDCAmQC59BbNPkipbwmhDgFNEAPXjuEEA8AG4GvpJT7bMQ3CyE80FtPff8TrwrAP4cjKeFZgh9WbSTh2jVGDHmclm3bUb1GQP4nO+DlWYI6prL0+mAr1SuWZtnojgRO3EClsj40qFaOFq+uAuD7lx7kngYWfj928T/x4a5W7Th59G8mvvwk5X0r0qBRM0qUuHUfIZ44foyZH09n9rxFxZ0UheI/w7EH4z9iL9BACFEHPfj0R2/V2CGEaAhUBHbZ7KsIXJdSpgohqgD3A9PyMubOu8oA9GCDsbbtkluLPvKiP/DdDej2AL3lAwhgLJAFbBRCdLKRC5RSNgWaAbOM1lmBqOLnR5wlNnv7YpyFqjatCoAqVf2Ii9NlMjMySEpMpLxvBTauW0Wbdu3x8vKmYqXKNL2rOUePOPc4no9PpnqlnJZPtYqlOR+fbCdz7sp11u8/R0amRtTF65y0JFLXVJZuLWrw58nLXE/N5HpqJpsiY2ldt5LduZUqV7VrvVy+aKFi5aoFzQJ6DHiSd+d8zdh3Z6NpUK1GbScZP5OJ2PM5+aS3Wuzzyc/PRGzseQAyMjJITEigQoWKmEwmLLE551piLfg5nGu1YbGcz5GzxGZ3sVmpavLLlsnIyCAxMYEKFSoYemN55aVhTJo8lYCAWi59dbcf+rk2MhYLfn756E/U9RfkXOv5lti888nPz8+FjQou88QVRVXebi2LIvChqPDw8Cj0kh9SygxgGLAOOAJ8L6U8LISYJISwHW7dH/hWSmn7zahGwB9CiAPAZuA921F1rnBLEDK6yoKAhUKI08Bo9JaINXikAX8Co4Afbc7zFELsNxaXQ3SEEOWAO4Gjhq5UKeUaKeVoYArQw/EcKeUJwAI0LqgPDRs1JebsGc6fiyY9PZ1NG9Zw74Md7WTue6Aj61ctB2Drpg20aN0WDw8P/Pyrse+P3wFITr7OkciDBNSu42Rj/+kr1PUrS60qZfD29KBHmwDWHzhvJ7N23znuE3rgqFTWh7qmspy5kETM5evca66CZwkPvDw9uNdclaPn7bvj6orGxJ6LIi42hoz0dHZv3UCrdg8WyP+szEwSrundNFEnj3H21DGatbrHSa5J02ZERZ0mOvos6WlprF29ig6BQXYyHQODWP7LMgA2rF9H23va4eHhQYfAINauXkVaWhrR0WeJijpN02Z3Odlo3KQZZ8+cISY6mvT0NNavXU2HjvY2OnQMYuXynwG9261NW91GwrVrjBg2hOEjRtG8Rctc/XW3H1b9MdFnSU9PY90aZ/0dAoNYYej/df062tjoX7dG1x+TRz7pNnLyad2a1XR0aeNnJxsFpSjKu6jKwp0+FBkeN7AUACnlaimlWUpZT0o52dj3hpRyuY3MRCnlGIfzfpNSNpNS3m2s8+16cFd3XB/gSynlEOsOIcRW7PsZpwNbpZSXhdCHJhsPt3IdX260ZOYAP0sprwghWgKxUspzQogSwF2A01NCIYQfUAc4U1AHPL28GP7KOF578TkyszLpGt6TOnXrs3jeLMyNmnD/g4F0696LKRPHMrh3N8qV92XCO3qrs0efAUx9+3We6N8DNI2QsB7Ua+A8/DozS2Pc1/v5ZuQDeHp48M3O08hz13i1e2P2n7nC+gPn2XzYQocmJra9FUxmlsakHw9yJSmNFX9Gc39DPzZP7AwabDocy4aD9gHM09OLx59/lanjXyQrK5MOwd2peWc9fvziU+o0aESreztwQh7mo7df5XrCNfb9voOfvpzHtPnfk5GZwaRX9OeVpcvcwdBXJ+Hp6Xy5eHl5MXb8Gwx99mmysjLp0bM39es3YPYnM2jSpCkdgzrRs3cfxo8ZTViXzpT39WXaBx8BUL9+A4K7dKVn9254enoy7vU38PT0dGnj1XETGDb0KTIzs4jo0Zt69Rswd/ZMGjduSofAICJ69mHCuFeJCA3G19eXKdM+BOC7b//H2agoFsybw4J5cwCY/ekiKlWuXKR+eHl5MWbcGwwd8jRZmZlEGPrnzJpB4yZN6RjYiZ69+jB+7GjCu+r6p76fo79zSFd6de+Gp5cnY8fnnk+vjZvA80OeIiszi4ieej7NmTXTsBFEj159eH3sq3TvGkx5X1/ee//D7PO7BQeRlJhEeno6mzdtZM78RdSrV79YytvdZeFuH4oKN3XHFSlumU9ICLEZmCqlXGuz70WgKxBgdJHZyj8OtJZSDnOh6zSQgB7DSwDLgLellCnGW72TgZKG+B7geeOY9bxMwBuYLqX8rADJ19RXtPNGfUW7YKivaBec2+gr2kUaFcr1W1Logk/47rGbKnKpSe2cUUEoH1QQKhgqCBUcFYRujPL9vyh0wV/79tGbKgipz/YoFArFLcrt0B2ngpBCoVDcqtz6MUgFIYVCobhVUS0hhUKhUBQbKggpFAqFothQQUihUCgUxcbtEITUEG1nVIYoFIobpUijQuXHvin0/erSkgE3VeRSLSGFQqG4RbkdWkIqCLkgITXLbbrLldQ/11cUL2GWbuH0AYr/hOR9s4CieUEyIcWNZVFKLwt3+WH14XqaG/PJp+jyKcmNftxh+OGuF3utL/UWxQu3RYkKQgqFQqEoNm6HIHTrThCjUCgUilse1RJSKBSKW5VbvyGkgpBCoVDcqtwO3XEqCCkUCsUtigpCCoVCoSg2bocgpAYm5MFvO7bTK7wrPUJD+HzRAqfjaWlpjB39Ej1CQ3hsYD/OxcQAsHvXTgb3602/Xt0Z3K83e3/fnY+NLkSEBrN40XyXNsaMfomI0GAeHdiXczHR2TYG9etF317hDOrXiz152Oh8XyMOLJtA5C9v8soTnZ2OB/hXZO38F9n1zWvs+W4sIe1zZkFv2qA6W5aM4s8fx7P3+3GU9HGut+zcsZ0eYV3o3jWYzxa69uG1US/RvWswjwzI8SE+/grPPPEo97VpyXuTXc7mnpNPO7fTq3tXeoTlUxZhITw2yKEs+vemX+/uDO6fd1m424+dO7bTI7wL3bvlof+Vl+jeLZhHBjrof/JR7mvrvnyKPHSQgX17MrBvTwY83IPNGzfk6UdPw4/F+fhhd83+tpOBfXvRt2c4A/vmfs3u3LGNiLAQwrt2zjWfXh01kvCunRk84GFibPLp6Sce4d42LXg3n3zauX0b3UNDCOvSmUULXNsYPWokYV06M6h/jg2ARQvmEdalM91DQ9i5Y3uedtyNh4dHoZebDk3T3L6YzeYeZrNZM5vNDY3tO43td2xkqpjN5nSz2TwrFx1Pms3mQ2az+aDZbI40m80Rxv52ZrP5d7PZvN9sNh8xm80Tjf2Pm83mC8b+w2az+Uez2VymAOnVrqVkaleS0rTAoE7a38dPa5cSkrXQsHBt/2GpXUvJzF4Wff6lNmb8BO1aSqb2w7Ll2gvDX9SupWRqe/Yd0k5EndeupWRqfx06ot3fvn32OVYSUrK0+KR0LTCok3bk+BntckKKFhoWrh04fFRLSMnKXhZ9/pU2dvwELSElS/tx2QrtheEjtISULG3vvkjtZNR5LSElS9t36B/t/vbts8+xUqr5C1qZlsO0E1FxWsPQN7RyrV/UDsizWvNeb2ulmr+QvSz8cYc2fPI3WqnmL2jNe72tnY65qJVq/oJ2R6vh2kEZrbXpO0Ur1fwFrXqHV7UyLYdl609Ky9KuJadrQUGdNHnijBafpPtw8MhRLSktK3tZ/IXuQ1JalvbTzyu0YcNHaElpWdrF+ERtx+692udffq1NeHOi3TlWriVnalcSjbI4dlq7dM0oi0ipXUvOzF4Wff6lNmbcBO1acqb2w9Ll2gvDXtSuJWdqe/46pJ04c167lpyp/XXwiHb//e2zz3G3H9n6U7O0a9cN/cfPaPGJhv6/j2pJqVnZy+Ilhv5UG/2pWdrFK4najl2G/jcm2p3zX+VT3OVE7XJCqnYtOVM7GXVeu+eedtnbVhJTs7Srhh//HD+jXbHxIzE1K3v5zPAj0fDjheEjtMTULO2P/ZHaqbPntcTULG1/pH7NWs/J/l8kZ2hBQZ20oyeitKtJqVpYWLh26Mgx7Xqalr0s/uIrbdz4Cdr1NE1b+vNKbdjwEdr1NE27FJ+k7dy9V1vy5dfahDffsjvHSnK6piWmZGhBnTppx05GadcMG5FHjmnJ6Vr28vkXX2njXp+gJadr2tJfVmrDXhyhJadrWuSRY1pYWLh2NSlVO3YqSgvq1ElLTMnQktOzTRTJPdW6VBvyk1bYpajTmN9SVC2hAcAOY23lFBBqs/0wcNjVyUKImsB4oL2U8i6gHXDQOLwEeFZK2RxoCnxvc+p3UsrmUsomQBrQr6AJPhx5kIBatahZMwBvbx+Cu3Rj6+ZNdjJbt2wirHsEAJ06h7Dn991omkbDRo2p6ucHQL36DUhNSSUtzXm2Vlc2tmze6GBjI2Hde9jY2GVjw5SvjTZN7+TE2YucjrlEekYmP6z7i7COd9nJaJpG+TtKAeBbtjTnL1wF4KF7GxJ5LIZDR/Xa8uWrSWRl2b+wGHnI8CFA9yGkaze2bLL3YcumjYRH6D48FJzjQ+kyZWjRshUlS/q4LAO7fApwKIstDmWx2aEs9uRSFqmu88ndfrjU71DWWzZvJNwo64c6u9Dv4758KlW6NF5eeis3NTUt1xpz5KGD1CyAH7bX7N5CXLN6PtW20R/qohw2ER7RU88np3JojU/JknnmU+ShgwQEGDZ8fOjSLdTJh82bNtHdsNE5OIQ9u3UbWzZvpEu3UHx8fKhZM4CAgNpEHjroykyRcDu0hNwehIQQZYH2wFNAf5tD14EjQojWxnY/7AOILX5AApAIIKVMlFKesjl23tifKaX820UavIA7gCsFTXecJQ6TyT8nASYTcXEWBxkLJlM1ALy8vChbthxX4+PtZDZuWE/DRo3wcXEDsT0fwGTy54KDjQuWOCcb8U421tGwUWOXNqr7+RJtyXE7xnKFGlV97WQmz1tN/25tOb72bZZ9MpSXp/4AQINafmgaLJ/9Ar99/RovP/aQsw9xFkz+efsQFxeHv3/ePuRFXFwcJn+bsvAzEWdxtJGTjlzL4tc8ysLNfrjU7+RD8eZT5MED9O0ZRv8+EYx9/c3soGTLhThLdhoB/Ez+TjYuFMCP3K7ZuDgL/jY+mFz972zSkKO/wH9t4iwW/KvZ/7ctLvLJzkY53YbFYrHLY5O/cx4XJbdDECqKgQkRwFop5VEhxCUhRCvgknHsW6C/EMICZALngOoudBwALMApIcRGYKmUcoVx7CNACiG2AGuBJVLKFONYPyFEe6AacBRYQRFy4vgxPvl4OrPnLXSrjZkfT2f2vEU3rKNvl9Z8tWI3M77cxD131WHRO4/Sqs8UvDw9ua9FXdoPfp/rKWmsmfcifx2J+g9TX3Rkl8Wn7iuLW52md93N98tWcurkCd58fSz3tX+Qkvm0Km6EE8ePMfOj6cyef+PXrELnZgwqhaUouuMGoAcbjLVtl9xaoDN6C+m73BRIKTOBLkAf9GDykRBionFsEtAaWA8MNHRa+c7opvMHDgGjC5poP5MfFkts9nacxYKf0ZWQI2PCYjkPQEZGBomJCfhWqACAJTaW0S8N563J71EzoFYuNnLOB7BYYrO7K6xUNfk52ahgY+OVl4YxafJUAnKxcS7uKjVNFbO3a5gqEmN0t1l5rMe9/LT+LwB+P3iKUj7eVKlwBzFx8ez46wSX4pNITkln7Y7DtGgYYO+DnwlLbN4++Pn5ERvr2oeC4OfnhyXWpiziLPiZHG3kpMOpLCxGWbyTR1m42Q+X+p18KN58slKnbj3KlCnDiePHnGxU9TNlpxEgzhLrZKNqHn5YYmMZNXIYk6a4vmb9/EzE2vhgcfW/s0lDjv6KFBQ/k4nY8/b/bZOLfLKzkaDbMJlMdnlsiXXO4yLF4waWmwy3BiEhRCUgCFgohDiNHgT6YmSFlDIN+BMYBfxoc56nEGK/sUwyZDUp5R4p5bvoQau3VV5KeUJKORfoBNwthKhsmw4ppYbeCnqwoGlv3KQZZ8+cISY6mvT0NNavXc2DHQPtZB7sGMjK5b8AevdCm7bt8PDwIOHaNUYOe45hI16meYuWhbLRoWOQnUyHjkGsXP6zSxsjhg1h+IhRedr44/AZ6teqSu3qlfH28uThkJas2mLfh3029jId2woARB0TpUp6c+FKIht++5sm9atTupQ3np4leKBVfY6cjLU7t0nTZkRF5fiwbs1qOgY6+BAYxIpfdB9+Xb+ONve0K1QNrnGTZpyNciiLDv9tWbjbjyZNmxF1xkG/i7JeYZT1rzY+FJR/k08x0dFkZOhf9zx/LobTp09SvXoNl36cdfCjMNfsiy8MYfjI3K9ZvRxOExN91tC/ig4uy2GZnk83cD1ZbURHnyU9LY21q51tdAwMYrlhY8P6dbQ1bHQIDGLt6lWkpaURHX2WqKjTNG12lyszRcLt0B3n1vmEhBDPAq2klENs9m0FJgBzpJRNhRBNgNZSyiVCiMeN38Mc9FQH/KWUfxnbTwM9pJRhQohQYLWUUhNCNAK2AybgEVtdQojJQHkp5fB8kq1Zv6K9Y/tWPpz2LpmZWXTv0Yunnn2OT2fPpFHjpnQIDCI1NZU3xr2G/OcI5X19mTJtOjVrBrBw/lw+X7iAWrVrZyud9elCKlWu7PQV7R3btzJ92hQyM7OI6NGbp559jrmzZ9LYxsaEca8i/zmCr68vU6Z9mG1j8cL5djZmf7qISpUrO31FO6R9Y95/pQ+eJTxY8stupi1ax4Shofz1dxSrth6iYV1/5kwYwB1lSqJpMP7jn9m4+x8A+ndrw+gng9E0jXU7DjN+xi9OX9Hevm0rH0ydQlZmFhE9e/P0kOeYM2smjZs0paPhw+tjX0Ue0fPpvfc/pGaA3qLqFhxEUmIS6enplCtfjjnzF1GvXn2nr2hnl0WWURbPGGXRpCkdOhplMd4oi/IOZbHIoSzmGmXh8BXt/9qPZg0b6PrTbPRPs9H/bC76jevpvWk2+kNs9JezySef/yafVq34hSWfLcDL2xsPDw+eGfI8HYP0Z4COX9HeYeNHd8OPuYYf2dfs2Ff5x7hm3zX8WDhvLp8tmk+tWjllMWeefs3afkV7+7atvD91ClmZmUT07M0zQ4YyZ9YMI586kZqayvixo7PLYer7H2XnU9fgIJISE7PLYe78z6hXr77TV7S3b9vKtPemkJWVSQ/DxuxPZtCkSVM6Bhk2xozmH8PGtA9ybCyYN5efl/2Ep6cnr44ZR/sHOgDZX9Eu0rt87RdXFPoGfmZm+E0VidwdhDYDU6WUa232vQh0BQKklE0d5B/HdRCqDSxGf16UAlwAnpNSnhBCfAu0RB/okAGMl1KuM3S9D8Sgt/iigcellHH5JFtTUznkjZrKoWCoqRwKzm00lUOR3uDvHLGy0IVyekbY/58gdIuiglA+qCBUMFQQKjgqCN0YdUauKnShnPo49KYKQuqzPQqFQnGrclOFkxtDBSGFQqG4RbkZBxoUFvXtOIVCoVAUG6olpFAoFLcot0NLSAUhhUKhuEW5DWKQCkIKhUJxq6JaQrcp1mHU7sQ6jNqdWIdSuwvrEGR3Yh0e7E7c7Yd1GLU7KYp8uqMI/LAOpXYXpW6zO95tEINUEFIoFIpbFdUSuk0pipcwi8LGykj3fGI+rKn+wcaWkzblI3nj/PWG/i2v+ORMt9moUNoTcP/LqkXxYvLVZPe9rOpb2niptwheur0dXhwuSm6DGKSCkEKhUNyqlChx60chFYQUCoXiFsVdLSEhRBdgBuAJLJRSvudCpi8wEdCAA1LKgcb+x4DXDbF3pJRL8rKlXlZVKBSKWxR3TOUghPAEZqN/aLoxMEAI0dhBpgEwFrhfStkEGGnsrwS8CdwDtAXeFELkOdmTCkIKhUJxi+LhUfilALQFjkspTxpzvn2LPkO2Lc8As6WUVwBsZicIATZIKS8bxzagT0iaK6o7TqFQKG5R3DQ6rgZw1mY7Gr1lY4sZQAixE73LbqIxZY+rc51nR7RBBSGFQqG4RbmRIGRMNvqsza75Usr5hVTjBTQAOgI1gW1CiGaFTgyqOy5Pdu7YTo+wLnTvGsxnC53LKC0tjddGvUT3rsE8MqAv52KiAYiPv8IzTzzKfW1a8t7kScVq4599v/Pe8EFMeWEAG5d+5XR86/LvmDbiET546XHmThzJ5bic6buvXLAwb9LLTH1xMNNGPMLluPMubdxXrxJLn7+HX4a14/H7azsdD7/bn42j2vPNs2345tk29GhRLfvYi53q8f1zbfn+ubYEN/bL1Y9dO7fzcEQ3eoeHsOSzBS7zafyrL9M7PIQnB/fjXEwMAIcPHWRw354M7tuTQX17smXTr7nacHdZ/LZjO73CuxARGsziRa71jxn9EhGhwTw6MEf/7l07GdSvF317hTOoXy/2/L47z3zqE9GVXnnk07hXX6JXeAhPOOTTICOPBvbtweZNG/LOp/AudO+WRz698hLduwXzyECHfHryUe5rm3c+Fdn/zo0+FBU30h0npZwvpWxtszhmQAwQYLNd09hnSzSwXEqZLqU8BRxFD0oFOdeOYm0JCSH8gY+BNkA8YEF/wHUAkIAPsA14HqgFHDH2W2kLVAQWoTvuDZyWUnYTQtwJrLTO3iqEeAZ4DnjI2o+ZF5mZmbz3ziTmLvgMk7+JQf0epkNgEPXq1c+W+Xnpj5QrX57la9azdvUqZnw4nanTP6KkT0meHz6C48eOceL40WKzkZWZydIFHzHkjQ/xrVyVj197liZt2uMfcGe2TI06DRg5bQE+JUvx29qfWfnlXB4d9RYA33wymU69H0Hc3YbU5Ot4lHCus5TwgNe6Cp7/ah+Wa6l89XRrtsoLnLp43U5u/eE4pq61T2f7BpVpWK0cA+btxdvLgwWPtmTn8Uskpdm/G5SZmcn7777DJ58uxM9k4vFB/XigQyB1bfJp+bKfKFe+PD+tWMf6tauZPWM6k6d9SL36Dfj86x/w8vLi4oULDO7bk/YPdsTLy8vJhjvLIjMzk/emTGLO/M8wmUw8MuBhOnQMsvPh56U/Ur58eX5ZtZ51a1Yx8+PpvPf+R1SoUJGPP5lLVT8Tx48dZdjQp1n76zaXNqa9+zazPl2En8nEY4P6usinHylX3pelK9axfu0qZs34gCnTPqJe/QYsyc6nOAb17ckDDwa6zqfJk5g738in/nnk0+r1rF2zihkfTWfqB0Y+DRvB8ePHOHEsj3wqiv+dG30oStzUHbcXaCCEqIMeQPoDAx1kfgYGAIuFEFXQu+dOAieAKTaDEYLRBzDkSrG1hIQQHsAyYIuUsp6UshV6Yk3ACSllc+Au9NEZPYzTTkgpm9ssacAk9Adhd0spGwNjXNh6BBgOhBQkAAFEHjpIQK1a1AwIwNvbh5Cu3diyaaOdzJZNGwmP0JP2UHAIe37fhaZplC5ThhYtW1GypE+x2og6foTK/jWo7F8dL29vWrTvxOG9O+xk6jdriU/JUgDUMjfm6qULAMSePU1mZibi7jYAlCxdJlvOlqY1yhN95Tox8SlkZGmsOxxHR1E1T7+t1K1yB3+diSdT00hJz+JYXCL31a/sJPd35CFqBtSiRk09nzqHdGXbFvsXZbdt2URouJ5PQQ8Fs3fPbjRNo1Tp0tk30rS01FyfzLq7LA5HGvoNH4K7dGPLZnv9W7dsJKy7rr9T5xz9DRs1pqqf/oJwvfoNSE1JJS0tzaUN23wKDunmlE9bt2wiNDzCyKcQl/mUmpaW683NZT45+LFl80bCDT8e6uwin3xyz6di+9/9hz4UJe4YmCClzACGAevQK/7fSykPCyEmCSG6G2LrgEtCiL+BzcBoKeUlKeVl4G30QLYXmGTsy5XibAkFAulSyk+tO6SUB4wWjHU7QwjxG1Af+CsXPdWA9TbnHLQ9aIxlHwN0klJeLGji4uIsmPxzuo1MJn8iDx1wkInD35Dx8vKibNlyxMfHU7FiniMSi8zG1csXqVAlp4vLt1JVoo79nav8no2raNhSf/544dxZSt9Rls+njedSXCzmZq0IHTyEEp6edudULVeS2KupOem9lkrTGuWddAc1qkrL2hU4c+k609cfw3ItlaOWRJ7tcCdf7YqilLcnre+syMkLSU7n6vnkn73tZ/Ln8CG7YuZCnAU/Q8aaT1fj46lQsSKRhw7wzpuvE3v+HBMnT3Wq3efYcF9ZxFksmEx5679gicuWyU3/xg3raNioMT4uboIX4uIc8snkMp9MDj7Y5tPbb44n9vx5Jk5+r+D5dPA/zKfi+t/9hz4UJe76bI+UcjWw2mHfGza/NeBlY3E89zPgs4LaKs5nQk2BP/MSEEKUAToBh4xd9YQQ+41ltrFvNrBICLFZCDFeCFHdRkVtYBYQLKWMRZErf25dz9kTksCIAQBkZWVy6shBwsvV84cAACAASURBVB99gZFT53HJco69m9fckO5tRy8SNvM3+s3bw+8nLzMpQn/lYPfJy+w8donFT7ZiSu8mHIy+Spb2339WpWmzu/l26QoW/+97lixaQGpqav4n3YScOH6MmR9PZ9wbb7lFf9Nmd/Pd0pV8fovn0/8n3DREu0i5WQcm1BNC7Ad2AquklNa7n2133AsAUsp1QF1gAdAQ2CdEdn/QBSAK6FvYBPj5mbDE5jyIt1his7tEcmT8iDVkMjIySExMoEKFCjeNDd9KVYi/GJe9ffXyBXwrO3eVHT3wB7/+9AVPjn0XL2+9hl2hclWq31mfyv7V8fT0omnbB4g+5dwHfiEhFX/fkjnpLV+SuAT7m9fV5AzSM/XgsmzfORpWK5d9bNGOMwyYv5fnv9qPB3DmUrKTDT2fcuoQcZZYqvrZD2Ko6mcizpCx5pOvQz7VqVuP0mXKcPL4sVxsuK8s/EwmLJa89Vc1+WXLOOq3xMbyykvDmDR5KgEBtVzaqOrn55BPFmcbNn7ml08nCppPpv8wn4rrf/cf+qAoHMUZhA4DrXI5Zg02LaSUE/NTZLwY9bWU8hH0fsgHjUPXgW7Ac0KIQYVJXJOmzYiKOkNMdDTp6WmsW7OajoFBdjIdAoNY8cvPAPy6fh1t7mlXqOaxu20E1G/IxfPRXLKcIyM9nX07NtKk9f12MtEnj/LjvA94csy7lPPN6WoIqNeQ5KREEq/GA3A88i9MNe90snE4JoGASmWoXqEUXiU8CGnix9aj9r2eVcrmdB11MFfh9EW9y62EB/iW1rt8GvjdQQNTWXafcO4+btSkKWejznAuRs+nDevW8GCHQDuZBzoEsmqFnk+bfl1P6zb34OHhwbmYaDIyMgA4fy6GM6dPUq2682sL7i6Lxk2acfZMjv71a1fToaOD/o5BrFyu69+4YR1t2ur6E65dY8SwIQwfMYrmLVrmbSPqDDFGPq1ft5oHHPLpwQ6BrFrxi5FP62jdRrcR4yKfqueWT2cc8smFHysMP3618aMgFNn/zo0+FCXu+GJCUeOhuaH7oyAYAxN2A4usQwSFEHcBvsBc66g2G/k7sRntZrM/CNgtpbwuhCgH7AEeRW8FrZRSNjVGeWwBnjVaTnmhWb/ku33bVj6YOoWszCwievbm6SHPMWfWTBo3aUrHwCBSU1N5feyryCNHKO/ry3vvf0jNAH10YrfgIJISk/g/9s47Lqpj/cMPSFEjRZFdVMCCOtYbNWoSNREwdgVLEqNGExNbEhNjNJpeTGwo9hKx3tyW3MQeUIwdu6n2UTQWVBYsiJWy8PvjLLDsLs3rruhvHj/7kT3nPfM978zueXfmzHknIyMDD08P5kctISiotlUWbXtq/HTYwLFf97B62Ryys7JoGdqF554fyIb/LMG/tqBRizZ888UoLp07jWdFbUKAd2Udr3+opYmSfx5g3fJ5ZJONfy3BC8Pfx8XV1SqLduvaPozpWAdnJyfW/nGRJTvPMjy4Jkcv3mDHicuMCK1F27qVMWZlc/1uJpOiJWeu3MatjDP/HqpNfLiVlsmEaMkJw03AOov2rrjtzJg6maysLLqH92TQkOEsnD+H+g0a8mywVk9ffDyOE/IYnp7efD1lGtX8A4j5aS3fLl2Ei4sLzs7OvD70DdqGPqf5apFF+363ReN6dYC8LNo747YTGTERozGL8B69eX3ocBbMm02DBo1oayr/04/GIo8fw8vLi4kR0/H3D2Bx1AKWLY4isHre9Pd53yyhko+PVRbtXXHbmT51kqmeevHakOEsnD+b+g0a5dbT57n15MWEKZGmelrD35cuwsXFFWdnJ14f+ibBpnqyzKIdt2M70yLM6mloAfV03FRPEWb11NGsnjzMPrNmWbTt+r2zvw8Ovcq3nLitxBfw/R8Fl6pI9MCCEIDp/s1MtB7RXeAM2hTtVSUIQu8Dg4BMtJ7dMillpI0p2o+j3WjrKaXcX8hpZaulHApHLeVQPNRSDsXnEVrKwaEX+CcnbS+xQ/s+bFuqgtADfU5ISnkR2/drGtmwPVPA9qnA1KLspZR/UkT6CIVCoXiYKIWjayVGpe1RKBSKh5TSeI+npKggpFAoFA8pj0AMUkFIoVAoHlZUT0ihUCgUD4xHIAapIKRQKBQPK6onpFAoFIoHxqMQhB7oc0KlFFUhCoXiXnFoVGg7Y1eJr1fbR7UuVZFL9YQUCoXiIeVR6AmpIGSDS9et12q5X1Tx0vKoOeIp+tijyXYpv2MDLQmqI7I+NPqk4BU+/1cOf90egDsZ9im/nCt2Ld9c42HOZgB57X030z7llzVd6exVvrmGI3kEYpAKQgqFQvGwonpCCoVCoXhgPAIxSAUhhUKheFhxfgSiUGld1E6hUCgU/w9QPSGFQqF4SHkEOkKqJ1QY+/bsZMDz3enXqwv/+vtiq/3p6el8+dEY+vXqwhuD+nHp4gUAMjMzmPTFxwzq25OBL4bxr+XWx+awe2ccvbp3IrxrB5YtibKp8cH7owjv2oGB/V7k4oUEAPbu2UX/Pr14sVd3+vfpxf59e22Wf/S3vXz9Vl/Gv9GHn1f8w2r/ljXfMeHtl5n87ivM/WwkV5Pyloce2ftZpox6lSmjXiVq4rgCfdi1M44e3ToR1rkDSxfb9mHc6FGEde7AgL55PqSkXGPIoIG0atGMyRPGF1g+QOs6Pqwb2YqYUa15/dkaNm06NtKz5p2nWf3200x5IW/Vj28GNmX3x8HMe7lJoRq7du4gvFtHunduX6AfY0e/S/fO7Xm57wtcMPkBsGTRQrp3bk94t47s3hV3X8tPSbnG4EEDeLpFUyYVUU+7dsbRo3snwroU0hZjRhHWpQMD+lm0xWsDadWy6LZwRHvvittBWNeOdOvUniWLbGu8P/pdunVqT/+XrNuiW6f2hHXtyK6dBbSFnct3FI/CyqqlrickhNADM4CngGtAOhBh+nsN8JfJ9LKU8jkhhAAWAt6AOxAnpRwqhAgGxkgpu5nK/RpoDoRLKdOKOg+j0cisiAlMmxuFr86P4a+8ROtnQqhRKyjXJmbtSip4ePLvlTFs3rieqLkz+HziNLZt2kh6RjrL/rOKu3fv8EqfHoR26Gy1rLTRaGTyxPHMj1qKXq9nQN8XaBscSq2g2rk2q1f+iKenJ2uiNxK7PprZMyOZPHUG3t4VmTlnAb46PfEnTzDijcFs2LQjX/lZRiM/RE3nrS9m4O2jY9rYwTRq2YYqATVzbfxr1eX9aYtxcy9L3IZVrPl2PoPGaBcIVzd3xs1YXmQ9Tf56PAsWLUXvp6d/nxdoGxJKkIUPHp6erF2/kQ0x0cyaHsmUyBm4u7nz5tsjiT95klPxJwrUcHaCT7rXY8iy30hMvcv3w59k67FkTiffyrUJ9CnP4GdrMCDqAKl3M6n0mGvuvmU7z1LW1ZkXW/gX6sekr8fzzaJlJj+et/Jj1cof8PT0ZN36n01+TCMicianTsUTuz6aFWuiSU4yMGzwINZEx4JrmftSvrubO2+Z6ik+/mThbTFhPAuiTG3xUiFtEbORDeujmTUjkinTTG0xYiTx8Sc5dbLgtnBEexuNRiZOGM/CRcvQ6/X06/M8wSGhBNU2q6sVWl39tOFn1sdEM3P6NKZGzuRUfDwbYqJZuTaaJFNbrI2OBZcydi2/TJkyPAicS19MKTGlqidkWvJ7NbBDSllLSvkE8BKQc/WIk1I2Mb2eM22bDcwwbasPzLFR7idAa7RVVYsMQADHjxyimn8gVasF4OrqSmiHzuzasTWfza7tW+nUNQyAtqHt+fXAPrKzs3FycuLunTtkZmaSdjcNVxdXHnusgpXGkcMHCQgMxN8/AFdXNzp06sK2rZvz2WzftpluYT0AaNe+I/v37SE7O5t69Rvgq9NWOA2qXYe0u2mkp+d/vunsyWP4VvGnsl81XFxdadbmOQ7t35nPpm7jZri5lwWgRt2GpFwp2bNFhw+ZfAjQfOjYuQvbtuT3YduWzXQP13x4rkOeD+XKl6dpsydwd3crVKOxvxfnrtwm4dodMo3ZrD+USGh933w2zzevxnf7Ekg1PQhy9Vbewzn7Tl/ldnrhK7RqflQ386OrDT+20D28p5Uf27ZspmPnrri5uVHNP4CAwOocPnTwvpWv1VNz3Nzdi+GDRVtYfJ62bd1Md9Pn6bn2NtrCrfC2cER7Hz50kIAAU125udGpS1crP7Zu2UKYqa7ad+jI/r2mtti6mU5dtLbw9w8gIKCAtrBj+Y7kUegJlaogBIQC6VLKb3I2SCnPSimtAosZVYAEM/tD5juFEKOBzkB3KeWd4p5IcnISvnq/3Pe+Oj3JyYYCbVxcXKhQoQLXr6fQtl17ypYrR+8uofQJ60Cfl1/B08vLSiPJYECvr5L7Xq/3IznJQsOQlGujaXiQkpKSz2bzz7HUq98AN4sLSMrVZLwr63Lfe/v4cr2QILN30080aPZk7vvM9HSmjnmdyHFDObhvh81jkpIM6P0K9yEpKQk/v8J9KAydpzuJ1/N+OxhS09B55r8gV/cpT/XK5fnHkBb8a1gLWtfxKXb5OX74+eW1t16vJ8nKD4MNP66V4Nh7K78kPli1heH+toUj2jvJYMCvSl5d6fR6DFZ+WNSVh1ZXBoMBvXk9++lJsjzWzuU7Eienkr9KG6VtOK4h8Fsh+58RQvxh+vsHKeUEtKG7LUKI3cBGYJmUMucT3xoQwBNSypv2OmlLjh05TBlnZ1bEbOZGairvDH2VJ1o+RdVqAfdd61T8SWbPjGTewiX/UzkHtsVy7tRx3vl6bu62L6J+xNvHl8uJF5j72UiqBAbhW6V0rpDu4uxEdZ/yDFryC3ovd/4+uAU95+zhhj0fkVcoHjBOjk1VZxcKDEJCiFUUksxTStnLLmeU/xzmAW3Q7gu9jzYc183iPJYJIWKBTkA4MEwI8bhpdzxQEWgPrCiJtq+vjmRD3k365CQDvr56mzY6vR+ZmZncvHkTLy9vlsdG0/LpNri4uFKxkg+NHm+CPHrEKghpv8Au5b43GBJzh9hyNfQ6DIZL6P1yNG7g7e2t2ScmMmbUCMZPmEJAQKCVD96VfEm5nJT7PuVKMl4+vlZ28s8DbPzxW975ei6urnm9KW+TbWW/atRu1JSEv05YBSGdTo8hsXAfdDodiYm2fSgOSalp+Hnl9Xz0nu4kpeYfVTWkpnEw4TqZWdlcuHaXM5dvUd2nPIcvpBZLQ6fTk5iY194GgwGdlR96G35ULMGx91Z+cbHZFvr72xaOaG+dXk/ipby60kYMiqirG1pd6fV6DOb1nGhAZ3msnct3JI/6PaG5wLxCXvbgCNAs542U8i2gHWB95TRDSnlRSrlUShkOZAI5U6MMQBdgphAipCQnIho0IuH8WS5dSCAjI4MtG9fT6pngfDatng1mQ/RaALZv+ZlmzVvi5OSETl+F337ZB8CdO7c5evgggTVqWkrQoGFjzp89y4WEBDIy0tm4IYa2waH5bNoGh/LT2tWANuzWouVTODk5cSM1lZEjhvH2yNE0adrMqmyAwDr1SL50niuGi2RmZPDbzk00btE6n8350yf4bsFUhnw0GQ+zC97tm6lkZGj3mG6mpvDX8UP4BdSw0mjYqDHnzuX5ELs+huAQCx9CQlm3RvNh08ZYWjz5VInGpg9fSCXQpzzVKpbFpYwTnRv7sfV4/mHFzceSaFFTO3/v8q7UqPwY568We/TV5McZLiScN/kRTVubfqyy8qNtSCix66NJT0/nQsJ5zp07Q6PGf7tv5ZfIh7MWbWHj87TO9HnaZPZ5KpGGnds7p64SEs6TkZ7OhhjrugoOCWWtqa5+3hhLS7O22BCjtUVCEW1hr/IdyaNwT6hYSzkIIdyAQCllvD1PxjQxYS+wXEq5wLQtENgBvIrZbDezYzoBm6WUGUIIP+B3oClQL8deCNECbcJDVynlHxROdk4C0727djB3egRZWUY6d+/JgNeGsnThXET9hrR+NoS0tDQmfv4hJ08cx9PTi88mRFC1WgC3b99myvhPOPvXabLJpnO3Hrw0YBBgncB0Z9x2IiMmYjRmEd6jN68PHc6CebNp0KARbUNCSUtL49OPxiKPH8PLy4uJEdPx9w9gcdQCli2OIrB69dwTn/fNEir5+ORLYHrk1z2sXDKLrKwsnmrXlY4vvEL0vxcTWLsejVu2Ye7nI7l09jSeFbV7KBV99Qz9aAqnjx/i+wVTcXJ2Ijsrm+DuL/L0c1rVWyYwjduxnWlTJpJlzCK8Z28GDxvO/LmzadCwEcEmHz75cCzy2DE8vbyYPHU6/gFar7BLh1Bu3bxFRkYGHp4ezI9aQlBQbasEps/Urcy4LnUp4+zEql8vErX9L95qF8SRC6lsMwWk9zvXpU0dH4xZ2Sza/hfrD2lj9X8f3Jyavo9R3q0MKbcz+GzVUXbHX7FKYBq3YztTp0wky2gkvGdvhgx7g/lzZ5n8aEdaWhoff/h+rh9Tps7I9WPRwgWsWbWCMi5leH/cR7R5pq1VAtP/pfzOHUK5dfNmbj0tiFpKUFBtqwSmcTu2My3CrC2GFtAWx01tEWHWFh3N2sLDrC0sEpjas71zRk/jdmwnYvJEsrKM9DDV1bw5s2jYsBHBoaa6+uB9jps0Iqblb4vVq1ZQpkwZxn6gtYVlAtP7XT7kJjB16FW+x+JfSpxVdvXg5qUqEhUZhIQQXYHpgJuUsqYQognwuZSypz1OSAhRBe0+z5NAMnAL+AatV2MrCE0HugJ3TZumSin/aWOKdgdgMRAipTxVyClkqyzahaOyaBcPlUW7BBqPThZth17gey35tcSNsvL1J0pVECrOxITxaAFhK4CU8g8hRO3CD7l3pJSX0KZl22KbDfv3gPdsbN9mbi+l3AhY3zhRKBSKh5RSOLpWYoozRTvDbLZZDmr1UYVCoXjAPAr3hIrTEzomhHgRcBZC1ATeQbtvo1AoFIoHSCmMKSWmOD2hEcATQBawCm269Lv2PCmFQqFQFI2zk1OJX6WNIntCUspbwDghxJdAdkmyDigUCoXCfpS+kFJyigxCQohmwBJMz+oIIQzAECllYZkNFAqFQmFnSuM9npJSnOG4ZcB7Ukp/KaU/MNq0TaFQKBSK/4niBKEsKWVu+mjT1Ocsu52RQqFQKIqFs1PJX6WNAh9WFULk5KIYBLgB/0Gbmt0Hbdr2aIecoeNR088VCsW94tDL/Mv//LPE16t/vvx4qQpFhd0TsswPZ54gSV2oFQqF4gHzCNwSKjgISSmfceSJlCYckmbFASlQfjpsn3VOujXSsgY7wgdHpKNp8sXmIizvjT++aAc4xgdHpIFKvmG/nDe+HtqlyN4plByQtseh2Gtigikn5yygDLBYSjm5ALvewI9ACynlL0KIGsAxQJpM9kophxemVaxqE0J0RFvrp2zONinlxOIcq1AoFAr7YI97PEKIMmgjYe3RFgw9IIRYK6U8amHnAYwE9lkUcUpK2aS4ekVOTBBCzAdeQcvPVg54GbBb7jiFQqFQFA87pe1pCcRLKU9LKdOB79DWarPkK2AKecmj74nizI5rI6XsB1yRUn6KlsxUBSGFQqF4wDjdw6sYVAPOm71PMG3LxfT8aICUMtrG8TWFEL8LIbYLIYq8rVOc4bicDAl3Tev1XAGqFuM4hUKhUNiRe0nDI4QYCgw12xQlpYwqwfHOaMv7vGpj9yW0teeuCCGeAFYLIRpKKQtc4rg4QWi9EMIbmAb8ARiBvxf3hBUKhUJhH+5lXoIp4BQWdC4AAWbv/U3bcvBAW716mxACwA9YK4QIk1L+AqSZdH4VQpwC6gK/FCRW5HCclPILKWWKlPIHoCbQGFhR1HGPArt27iC8W0e6d27P0sXWbZaens7Y0e/SvXN7Xu77AhcuJACQknKNwYMG8HSLpkyaML4IjTh6dOtEWOcOBWqMGz2KsM4dGND3RS6aaQwZNJBWLZoxuRCN47/vY/Lb/Zn4Vl82r/yn1f7ta78nYuQApo16lQVfvMvVpEQA4g/9RuTo13Jf4156jkP74h6ID7ka3TsR1qUQjTGjCOvSgQH9LDReG0irlkVrtKpdidUjnmLtO08zqE11mzYdGupY8dZTrHjzSSb1bpi7vfvjfqx9+2nWvv003R/3e2A+7N4ZR6/unQjv2oFlS2xrfPD+KMK7dmCgmcbePbvo36cXL/bqTv8+vdi/r+BE+Xt3x9G3V1f69OjEP5Yvsqnx2Yej6dOjE0NeeYlLF/OuX/EnJcMG9ePlF8MY2KcHaWlpNurJAd+7uB2Ede1It07tWbLItsb7o9+lW6f29H8pTwNgyaKFdOvUnrCuHdm10/Z3wlHY6Z7QAaCOEKKmaVXtl4C1OTullNellJWllDWklDXQVlUIM82O8zVNbEAIUQuoA5wuTKxEkwpNyUvvCCH+wI4LxAkhjMAhtCFMIzBCSrnbYvqfG9qy32+aDpsJhKI9w3QXeFFK+ZcQ4gzQXEp52dQ9/BHoJaX8vbBzMBqNTPp6PN8sWobeT0//Ps/TNiSUoKC822GrVv6Ap6cn69b/zIaYaGZNn0ZE5Ezc3dx56+2RxJ88SXz8yUI1Jn89ngWLlpo0XrDSWL3yRzw8PVm7fqNJI5IpkTNwd3PnTZPGqfgTNsvPMhpZuWgGwz6bjpePLzPHDaVhizb4BdTItalWsw7vRizCzb0suzes5qd/LGDg6C+p3bgZoyOXAnD7RioTR/RFNGnhcB9yNSaMZ0GUSeOlQjRiNrJhfTSzZkQyZZpJY8RI4uNPcupkwRrOTvBhF8Hwf/yOITWNfw1pwXZ5mdPJt3JtAiuV47U2NXh1yS/cuJtJxce0eb+e5VwYFlyLflH7yc6G/wxryTZ52eE+GI1GJk8cz/yopej1egb0fYG2waHUstDw9PRkTfRGYtdHM3tmJJOnzsDbuyIz5yzAV6cn/uQJRrwxmA2bdtjUmD5lAjPmLUKn1zN4YB/aPBtCzVp5Gj+tWYGHhyffr97AptgYFsyZzvhJkWRmZvLVpx/wyfhJ1Klbj+spKbi4uFiV74jv3cQJ41m4aBl6vZ5+fZ4nOCSUoNpmGis0jZ82/Mz6mGhmTp/G1MiZnIqPZ0NMNCvXRpOUZGDY4EGsjY6lTJkyBerZE3vM0JZSZgohRgCxaFO0l0opjwghxgO/SCnXFnL4s8B4IUQGWmad4VLKq4XpFWdigi3s/YjUHSllEynl48CHwCSzfTnT//4GNAB6oGVxqAr8TUrZGOgJ5FuIz5QB4kegT1EBCODwoYMEBFbHPyAAV1c3OnbuyrYt+Z8n2bZlC93DtVXOn+vQkf379pCdnU258uVp2qw5bu7uxdAINNPoYkNjM93DexSg8QTu7m4Fln8u/hg+ftXw8auKi6srTdu048iBnflsajduhpu7NvM+sG4Drl+xXhL8zz3bqNf0yVw7R/pQoMZWC42tm+keZtJob0PDrXCNRtU8OX/1Dheu3SXTmE3sYQPBonI+m15PVOP7AwncMD1scu2W9lBLqyAf9p66SuqdTG7czWTvqau0ru3jcB+OHDZp+GsaHTpZa2zftpluJo12Zhr16jfAV6c9/xVUuw5pd9NIT7de5v7YkUP4BwRQzaTxXIcu7Ny+NZ/Nzu1b6NxNm0wV3K4Dv+7fS3Z2Ngf27iaoTl3q1K0HgJe3t9XF22HfuwCThpsbnbp0taqnrVu2EGbSaN+hI/v3ahrbtm6mU5euuLm54e8fQEBAdQ4fOlionj2x11IOUsoYKWVdKWWQlHKCadtntgKQlDLYNAyHlHKFlLKh6frdTEq5rkgfSuhzDo7MmOAJXLPcKKXMBHajzdSrAlySUmaZ9iVIKc2PqQ+sBgZIKfcXRzQpyYCfX96wil6vJynJYMOmCgAuLi5UqOBBSorVqRaqoTcdr2n4kWylkWRDw3KhW9tcv3oZ78q63PdelXxtBpkc9m+Opl6zJ622/7FrM83aPPdAfChQw3B/NXSeZUlMzZtpakhNQ+eZ/2JW3ac81X3Ks/y1J/h2cHNa1a5kOtbd4ti7Vsc6wockgwG9vvC2SDYk5doUpLH551jq1W+Am42gl5xkQGem4avTW2skJaHT++VqPFbBg+vXUzh/7gxOOPHeiCG81v95/vX3JdY+OOJ7ZzDgVyVPQ6fXY7BqCwsND03DYDCgNz8/Pz1JBvs8FF4cnJxK/iptFDgcJ4RYhe1g4wT42Nh+PylnGvIrixZgQi0NhBDlgXbAZ2hDdztN0wE3A/+06O2sAV6WUu60LEeh8ev2jZw/JXnrq9n5tqdeu8ylc6cRTVo+oDMrPZRxdiKwUjkGL/8Nnac7Swc9wQsLLJ/Te7g5FX+S2TMjmbfQOkD8r2QajRz88zcWffs9ZcuWZeQbryPqN6R5y6fuu9b/Fx71pRzmoj01a/maC4TZ+bxyhuPqAZ2Ab4UQObUdZApQu4BoKeV6KWUCINCG7rKAzUKIdmblbQIG59wwKw46nZ7ExMTc9waDAZ1puCK/zSUAMjMzuXnzBt7eFYvtpE6nx2A6XtNIzB0SybPR2dDwLlb5XpUqk3I5Kff99avJePn4Wtmd+PMXNq34ltc+nISLa/5fv3/s2krjls9SxsX27xV7+1Cghv7+aiSl3sXPM2+4Ue/pTlJq/pvmhtS7bJeXyczK5mLKXc5euU1gpXIkpaZZHFvW6lhH+KD9oi+8LXz1ulwbSw1DYiJjRo1g/IQpBATYvuXrq9OTZKaRnGSw1tDpSDIk5mrcunkDLy9vdDo9jzd9Am/vipQtW46nWz/DieP5HsJ3zPdOryfxUp6G1oMsQuOGpqHX6zGYn1+iAZ3FsY7E+R5epY0Cz0lKubmwl6NOUEq5B6iMaVE9TPeEpJRNpZRfmNmlmQLS+8BEtHtFOYww/T+/uLoNGzXm3LkzXEg4T0ZGOrHro2kbkr9D1jYklHVrVgGwaWMsLZ58qkS/TDSNs1xISDBp8YCT4AAAIABJREFUxBBsU2P1PWkE1K7H5UsJXDFcJDMjg993bqZh89b5bBJOn+DHhdN47YNJeHhZf5F/37mZpm3aWW13lA+5GmctNIItNIJDWbfWpPFzLC1alkzjyMUbBPqUp6p3WVzKONGxkZ7tFpMLth5PpnkNrY68y7tS3ac8CdfusPvUFZ4OqoRHWRc8yrrwdFAldp+64nAfGjRszHkzjY0bYmhrQ+Mnk8ZmM40bqamMHDGMt0eOpknTZgVq1GvQiPPnz3HxgqaxaWMMrZ8NyWfT+tkQ1v+0BoBtmzfSrMWTODk50fLp1pyOP8ndu3fIzMzk999+oUatIOt6csj37gwJCefJSE9nQ4y1RnBIKGtNGj9vjKWlSaNtSCgbYqJJT08nIeE8586doVHjv9mScQh2mh3nUApcyuFBIoS4KaWsYPq7HrAT0KPNXf9JStnIwr4ZkCilvGh6kGo5cFBKOS1ndhxwE222x3Yp5WeFyGfnJFGM27GdqVMmkmU0Et6zN0OGvcH8ubNo0LARwSHtSEtL4+MP30ceO4anlxdTps7AP0CbXt+5Qyi3bt4kIyMDD08PFkQtJSiotlUC07gd25k2ZSJZxizCe/Zm8LDhzJ8726QRSlpaGp98ODZXY/LU6bkaXTqEcuvmrVyN+VFLCAqqnS+B6bFf97B62Ryys7JoGdqF554fyIb/LMG/tqBRizZ888UoLp07jWdFbYTVu7KO1z/UchVeTbrEnI/f4tOFP+LsnPd7xTKBqT19yEn+GbdjO9MizDSGFqBx3KQRYabR0UzDw0zDIoFpmzo+vN+pLs5OsOb3SyyOO8MbIbU4ejE1NyCN7liHVrV9yMrKZnHcGWJNSWLDm1bh9WdqALBkxxnW/HHJKoGpPX3ISWC6M247kRETMRqzCO/Rm9eHDmfBvNk0aNCItiaNTz/SNLy8vJgYMR1//wAWRy1g2eIoAqvnTU2f980SKvn4WCUw3bNzB7OmTybLmEXXsJ688vowFn8zh3r1G9Kmrabx1WcfcFIew9PTiy8mTqOav+ZHbMw6/rF8EU448XTrZ3hz5BggfwJTe37vchKYxu3YTsTkiWRlGelh0pg3ZxYNGzYiONSk8cH7HDdpREzL01i0cAGrV62gTJkyjP3gI9o80xbITWDq0Kv8O6uPl/gCPrtHvVIViUprEMqZog1ao34kpYw2TdG2FYQ6AROAnLvB+4E3pZR3LaZoewHbgUVSSsulKnLIVlm0C0dl0S4eKot28XmEsmg79AL/7pqSB6GZ4aUrCBX7OSEhhLuU0vrJMjsgpbR570ZKeQbtSV3L7RuADQUcU8Ps7+tAsbO7KhQKRWmmNK6UWlKKk0W7pRDiEHDS9P5xIcQcu5+ZQqFQKArlUbgnVJzJErOBbmiJS5FS/gmEFHqEQqFQKOyOs1PJX6WN4gQhZynlWYttRnucjEKhUCiKzyP9sKoZ54UQLYFs03M2bwMFJ7BSKBQKhUO4l6UcShvFCUJvoA3JBQIGtAc/37DnSSkUCoWiaErjw6clpcggJKVMQkvlrVAoFIpSxCPQESr6OSEhxCJs5JCTUg61Yf4oUPoenFIoFA8LDg0Ln244WeLr1Ved6pSq0FWc4bhNZn+XRVsm4XwBtgqFQqFwEI9CT6g4w3Hfm78XQvwDLY3OI4sjnnB3RFaG1QcTCze8R3r8TUtl74h6umVHjcfsrJFT/qv/sd96M8v7annLjl+6bTeNelXKA45pC3tlfsjJ+pB6N8su5QN4lnX8HZrSOOW6pJRoZVUTNdHyuCkUCoXiAfL/YnacEOIaefdJnIGrwAf2PCmFQqFQFM0jEIMKD0KmNXweBy6YNmVJKdWNe4VCoSgFPPLDcVLKbCFEjGXWaoVCoVA8eJwcOxnPLhTnTtofQoimdj8ThUKhUJSIRyF3XIE9ISGEi5QyE2gKHBBCnAJuoc2Dz5ZSFrz8okKhUCgUxaCwntB+0/9hgAC6AC8Az5v+f+TZtTOOHt07EdalA0sXR1ntT09PZ9yYUYR16cCAfi9y8UICACkp1xjy2kBatWzG5Anji9DYQXi3jnTv3L5AjbGj36V75/a83PcFLphpDB40gKdbNGVSERry931MfedlIkb0Y+uqf1nt37HueyLfHciM0YOI+nIU15LzpnbH/GMBkaNeYdq7A1izdBa2Hm52TD3F0dOksawIjYFmGnt376Lfi714sWd3+r3Yi/379j4wjcZVKjCpq2BKN0HX+r42bQCa+3uyvO/fqFGpXO42f++yfNI+iAld6vJV5zq4FvCT9rd9u3hjQA+G9Qvjx38ttdp/5M9fGTWkLz1Dm7Nr289W+2/fuslrz3dk4czJBZ7fvdZTSso1hr42kNZFtPfunXH06t6J8K4dWLbEdvkfvD+K8K4W7bBnF/379OLFXt3p36fwtt69K47eYZ3p2a0jy5cssqnx4fuj6NmtI6/278PFC9pt8SOHDtLvxZ7a64UebN1sXYeO5JHuCWF68ldKecpB5wKAEMIfmAc0AMoAMcBo4GlgDfAX2gqq30kpvxRClAcWAX8znXMK0ElKedNimfAuwEygvY2s4FYYjUYmTxjPgqil6P309H/pBdqGhBIUVDvXZvXKH/Hw9GRtzEY2rI9m1oxIpkybgbubO2+OGEl8/ElOnSw416vRaGTS1+P5ZtEyTaPP81Yaq1b+gKenJ+vW/8yGmGhmTZ9GRORM3N3ceevtkcSfPEl8/MkCNbKMRlYvmcngTyPxquTL3A+H0aB5a/QBNXJtqtWsw1NTonBzL8ue2NXE/OMb+r/3BWfkYc7Iw4yapl3MFnw6gtNH/4DHqzi8nqZMGM98k8bLJo1aFhqeJo1YMw3vihWZNXcBvjo98SdP8NbwwcRu3uFwDScnGPBENaZu/YurdzL4vENtfr+QysXU/OtElnVxpr2ozKnLt3K3OTvBsKcDiNpznvMpd3nMrQyZNn4MGI1GFs6azJfTFuDjq2fM8P60bN2WwBpBuTaVdVUY+cGXrPr+W5t1/a+l82n4eMGDHP9LPbm7ufPGiJGcij9JfAHtbTQamTzRVL5ez4C+L9A22Hb5a6K18mfPjGTy1Bl4e1dk5py8dhjxxmA2bLLd1hETv2LuwiXo9Xpe6fcizwaH5NNYs+pHPD29WPVTLBvXRzNn5jQmTZ1BUO06fPvvH3BxceFychL9XujJM21DcHG5l6dd/ndK4/pAJaWwnpCvEOK9gl72OBnTbLyVwGopZR2gDlAOiDCZxEkpmwDNgZeFEM2AkYBBStnYNIHidSDDotx2aElYOxcnAAEcPnSQgMBA/AMCcHV1o2PnLmzbmn8Z6G1bN9M9rAcAz7XvyP59e8jOzqZc+fI0bfYE7m5uxdCobqbRlW1bLDS2bKF7eE9No4OlRnPc3N1tFZ3L+fhj+PhVw0dfFRdXVx5vHcrRX/I/axzUqBlu7mUBCKzbgOtXkwEtomemp2PMzCQzMwOj0UgFr4oPpJ78i6HRzaTRrn1HDpg06tVvgK9Oe6wtqHYd0u6mkZ6e7nCNWpXKY7iZTvKtdIxZ2ew7l0JTf0+r8+j1Nz0xx5LJMOYFmUZ+HpxPucv5lLsA3Eo3Yivb1snjh/GrFoBfVX9cXV15JrQj+3dty2ejr1KVGkF1cXay/urHy6OkXL1Ck+ZPWxd+H+opp73dCmnvI4dNnyd/rfwOnazL374tf/n7S9jWRw4fJCAgT6N9py5s37Yln82OrVvoGhYOQGj7jhzYv5fs7GzKliuXG3DS0tIfeBB4FHpChQWhMkAFwKOAlz0IBe5KKZcBSCmNwChgoOlcMG2/BfwK1AaqkDeFHKmR+/NSCPEsWk+pW0l6dUlJBvR+eb/49Xo/kg0GC5sk/Ew2Li4uVKjgQUpKSrGdTUoy4OfnZ6ahJynJUsNgQ+NasTWuX72Mt48u971XJV+uX7lcoP2BzTGIpk8CUF00olajpnw9tBdfD+lF3cdboPevYXV+9q6nZLM6ANDp/Uiy0Eguhsbmn2OpV7+BzYugvTUqlnfl6u2830bXbmdQMSe1hYnqFctRqbwbf168kW+7n6c7ZMPo4Jp80bEOnQsYyruSnERl37znyH189VxJTrZpa0lWVhbL5k9n0BuF/768X/VUEEkGA3q9xefJ4juRbEjKtbm3tk5Cb/690+ltfGbzPtc5GtdNGocP/smLPbvR9/lwPvjk8wfWC4JHfz2hS1LKwgfq7z8N0YJLLlLKVCHEGbSAA4AQwgd4CvgKbW2jjUKI54HNwN+llDnjU+7AaiBYSnnc7mf/kPPbjo0knJYM/3IWAJcvJZCccJaPvvkBgMVfjeavY3/C3/wKK6ZUcir+JLNnRDIvakmp1HAC+jatwuJ91mkZnZ2gju9jfBl7knRjFmNDa3Hm6h2OGW7eh7PWWL/6vzzxVBsq6x7+ZCin4k8ye2Yk8xbap60b/e1x/rvqJ/46fYovPvmQVm2exb2IEQl78ShkTCisJ1QavXtGCPE7sBGYLKU8IqX8A6gFTAUqoc3kq2+yzwB2ow3RlQidTo8h8VLue4MhEV+93sJGR6LJJjMzk5s3b+Dt7V0ijcTEvEkABoMBnc5SQ29DI/+QWGF4VapMypWk3PfXrybj5VPZyu7kwV/YsvIfvDpuIi6u2q/HI/vjCKjbAPdy5XEvVx7R9EnOnjhidX72ridfszoASDIkorPQ8C1Ew5CYyOh3RzB+4hQCAgIfiMa12xlUKp/X86lY3pVrZgkEy7o6U827LB+EBjGtez2CKpdn5DM1qFGpHNduZyCTb3Iz3Ui6MZuDF29Qo2I5Kw0fXx2Xk/N+0V9JNuDjW/AECHOOHz1I9KrvGdKnC8sWzGDrxp/4+8JZ972eikKn12MwWHyeLL4Tvnpdro2tdhgzagTjJxTW1joM5t+7JIONz2ze5zpHw8vCh5q1gihfvjynCrkna28e9eG4dg47izyOAk+YbxBCeAJ+gES7J9RUSvmElPKbHBsp5U0p5Uop5ZvAP9Fm8gFkAS8CLYUQH5XkRBo2asy5s2e5kJBARkY6setjCA4OzWfTNjiUdWtXA7Dp51hatHyqRGPEDRs15ty5M1xIOG/SiKZtiIVGSCjr1qzSNDbG0uLJkmn4167HlUsJXDVcIjMjgz93baF+89b5bC78dYKVUZG8Om5Svns+3pX1/HX0T4zGTIyZmZw++ie6atWtfXBAPZ230GhrQ+Mnk8ZmM40bqam889Yw3n53NE2aFnzD3d4af129jd7DjcqPuVLG2YknA735PSE1d/+djCzeXnmUMeuOM2bdcU5dvs2suDOcuXqHQ5du4u9VDrcyTjg7gdA9xsXUu1YadURDLiWcw3DpAhkZGcRtiaVlq+Bi1fHoTyay5L/rWfR9DIPeGEVIh268Mmzkfa2n4tCgYf7yN24oWTuMHDGMt0cW3tYNGjbm3Lk8jZ83xPBs25B8Ns8EhxC9dg0AW8w0LiQkkJmZCcClixc4c+Y0VatWK5Zv9uBRGI4rcj0hR2KamHAAmC2l/Na0nPg3wBlgFzBGStnN4pjWwFEp5TUhhBuwAZgvpfwxZ3acEKISEAdMl1IW1UfPzskOHbdjO9MiJpJlzCK8Z28GDx3O/LmzadCwEcEhoaSlpfHJh2ORx4/h6eXF5Ijp+AcEANClYyi3bt4iIyMDDw8P5kctISiotlUW7bgd25k6ZSJZRiPhPXszZNgbzJ87y6TRjrS0ND7+8H3kMU1jytQZuRqdO4Ry6+ZNTcPTgwVRSwkKqm2VRfv4b3tZt3wOWVlZtAjpQmjvAWz8bgn+QfVo0KI1i8a/R+K503h4+wDgXVnHqx9MIstoZNXiGfx17E+ccKJuk5Z0f3WEVRZte9ZTTubmnWYaYSaNBSaNtiaNTz8cy/Hjx/Dy8mKSSWPxwgUsXRJFYGBe8Jy/cAmVfHyssmjfb42AKlqPMyeL9t+qeNCvWVWcnSDu9DXWHU2iZ2M9f129wx8X8gISwAehtfjuj0ucuXoHgKdreNOtgY7sbDh4KZX//qG1rWUW7V/2xrFk7jSysrJo1zmcFwcM5l9L51NbNODJ1sGcPH6ESZ+8x82bqbi5ueNdyYe5y1fk0968fi3x8ijD3tVSRFpm0b7XegLoaqO9awXVzpdFe2fcdiIjJmI0ZhHeozevDx3OgnmzadDArPyPtM+Tl5cXEyOm4+8fwOKoBSxbHEVg9bx2mPeN1taWWbR3xW1nesQkjFlZhPXoxWtDhvPNvNnUb9iItsGaxucfj9M+s55eTIiIxN8/gJh1a1i+dBEurq44OzkxeNibBIc+B+Rm0XboZX7erjMlvoC/1bpGqQpFpSoIAQghAtCmaNcHfIHvpZTDhBDB2A5CA4ExaI3vDEQD40wph8ynaAcAO4CRUsq1hZxCtlrKoXDUUg4lK18t5VA0j9BSDg69wM/fXfIg9Gar0hWEHty0jgKQUp5He0AWIUQr4D9CiGZSym3ANhv23wI2H3rICUBm5da0wykrFArFA6E03uMpKaUuCJkjpdwNVC/SUKFQKP4f8ijMjivVQUihUCgUBfMIxCAVhBQKheJhRfWEFAqFQvHAeARikApCCoVC8bBSnAXhSjsqCCkUCsVDyoNOoHo/KHXPCZUCVIUoFIp7xaFR4dtfzpf4ejWweUCpilyqJ6RQKBSKfAghOgGz0FZTWCylnGyxfzjwFmAEbgJDpZRHTfs+RMvXaQTekVLGFqalgpANbmfYMROAq5PDNNYcsk/GhPDGWsaEh/kJesh7it7eGRPOX00rwvLeCaikZW/uteTXIizvnZWva+kcHdHeN+yU0cBDy2bgiIwJDsUes+NM6dLmAe2BBLSk0GtzgoyJf+fk7xRChAHTgU5CiAbAS2grIlQFNgkh6pqW5bHtw333QKFQKBQOwekeXsWgJRAvpTwtpUwHvgPCzQ2klObJDh8j7zZGONqq12lSyr+AeFN5BaJ6QgqFQvGQYqd5CdUA84WtEoAnLY2EEG8B7wFuaAuS5hy71+LYQtOMqyCkUCgUDyn3MjtOCDEUGGq2KUpKGVXScqSU84B5Qoh+wCfAKyU+GVQQUigUioeWe7mfYgo4hQWdC0CA2Xt/07aC+A5YcI/HqntCCoVC8bDi5ORU4lcxOADUEULUNK3R9hKQb/kbIUQds7ddgZzlZdcCLwkh3IUQNYE6wP7CxFRPSKFQKB5S7HFLSEqZKYQYAcSiTdFeKqU8IoQYD/xiWo9thBDiOSADuIZpKM5k91+0VbIzgbcKmxkHKggVyq6dcUydPIEsYxY9ej/Pa4OH5tufnp7Opx+O49jRI3h5ezNl2nSqVvMnJeUa748ayZHDhwnr0YMPPv7sgWnI3/exZtkcsrOyaNmuKyE9++fbv2Pd9+zfHI2zcxkqeHrzwlvjqOjrR/zh31i3fF6uXfKFc/Qb9RmNWj5j04dpUyZgNGbRs9fzDLLlw0eaD97e3kyeqvmwd/cuZs+MJDMjAxdXV94dPZaWTz5l04/dORpZWfTo9TyDXrfW+OxjUz15mWns2cWcmZFkZGTg6urKyPcK1rhXP1JSrjH2Pa0tuocX3Bb79+xk/swpZBmz6BzWi74DX7cqf8r4jzl5/CieXl588vVU/KpUIyMjg5lTxiOPHcHZ2Zk3R42jSbMWNjWaVvPktacCcHaGTfIyqw4a8u0PqePDwBbVuHpbW1Vx/dEkNp24AkBw7Uo836QKAD/+cYlt8Vfvaz0Vt71374pj2pSJZGVl0aPn87z6+hCr8j//eBzHjh3Fy8ubSRHTqVqtGnv37GLurOl5bT3qfVoU9HnaFUekSSO8EI3jJo2JJo0jhw4y4avPNaPsbIYMf4uQdu1tajgCe2VMkFLGADEW2z4z+9t67fe8fROACcXVKrVBSAgxChiMNvXvEDAIbenuKsBdtAekXpNSSiFEN+ArtOFFV2CWlHKhEOIL4KaUcpoQoiywDtglpfyiKH2j0cjkr8ezYNFS9H56+vd5gbYhoQQF1c61Wb3yRzw8PVm7fiMbYqKZNT2SKZEzcHdz5823RxJ/8iSn4k88MA1tee6ZDPksEq9Kvsz5YBgNmrdGH1Aj16ZqzTq8MyUKN/ey7IldTfQ/vuHl976gdqNmjJqmrYR++0YqU97uR93HrS98RqORKRPGMz9K8+HllzQfaln44OnpydqYjcSuj2bWjEimTJuBd8WKzJq7AF+dnviTJ3hr+GBiN++wXU8TTRp6PQP6vkDbYNsaa6I1jdkzI5k8dQbe3hWZOSdPY8Qbg9mwybbGvfrh7ubOGyNGcir+JPEnbbeF0WhkTuREpsyKwlen563X+tLqmWCq1wzKtVm/biUeHp58+2M0W39ez6J5M/n066nErNGW3178r5Vcu3qFj957k3lL/4Ozc/7RdGcnGNIqkC83nODKrQwiwupx4Nx1ElLu5rPb9dc1Fu85n29bBbcyvNi0KmPXHCMbmBpenwPnrnMrPf+PWHu3t9FoZMrEr5i3cAl6vZ6B/V7k2eCQfOWvWfUjHp5erP4pltj10cyZOY1JpraeMXsBvjod8SdP8PYbQ1i/abvNtoiY+BVzTRqvFKDh6enFqp9i2WimEVS7Dt/++wdcXFy4nJxEvxd68kzbEFxcHsyl9FG4n1IqfRBCVAPeAZpLKRuhdQlfMu3uL6V8HPg7MFUI4Yp2k627aXtTLFZgNY1rrgB+LU4AAjh86CABgYH4BwTg6upGx85d2LZlcz6bbVs20z28BwDPdejI/n17yM7Oplz58jRt9gTu7m4PVON8/DEq+1XDR18VF1dXHm8dypEDO/PZ1G7UDDf3sgAE1mnA9SvJVuUc3LsN0eTJXDtLH/wtfdhq4cPWzXQL03xo174jB0w+1KvfAF+dHoCg2nVIu5tGenq6lcaRw6Z68tc0OnSy1ti+Lb/G/hJq/C9+5LSFm1vBbSGPHqaqfyBVq/nj6upK8HOd2LVjaz6b3XHb6NAlDIBnQ9rz+y/7yM7O5uxfp2jyhPaoRcVKPlSo4MGJY0esNGr7Psal1LsYbqSTmZXNztPXaBnoXeA5mdPE35ODF1O5mW7kVrqRgxdTaerveV/rqThtceTwQQIC8rf19m1b8tls37qFbmHhueXv37/XrHxdXvlphXyezDTa29DYsXULXU0aoe07csCkUbZcudyAk5aW/sBzt9npnpBDKZVByIQLUE4I4QKUBy5a7N8B1AY8TLZXAEwPSUmLcr4HTkopPyiueFKSAb1fldz3er0fyUkGC5sk/Ew2Li4uVKjgQUpKSnEl7K5x/eplvCrrct97+fiSevVygfYHtsRQr6nV4wD8uWsLTdq0s3lMcpIh9/wAdHo/kgwGC5uifdj8cyz16jeweSFPMhjQ6wuvp2RDUq7NvWjcLz8K4nKyAZ3pAgzgq9NzJTkpn82VZAO+es2mjIsLj1WoQOr1FGrVEeyJ24YxM5NLFxM4IY+RlGSdDcOnvCtXbmXklXc7nUqPuVrZPV2jItN71uf90Fr4mPb7lHfj8q28C/aVW+n4lLdfPRXUFklJSej9/PLK1+mtyjf/3uSUf92y/E0bqVe/fgFtnV9Dr9OTXAKNwwf/5MWe3ej7fDgffPL5A+sFgd0eVnUopTIISSkvANOAc8Al4LqUcqOFWXfgkJTyKtqMjLNCiP8IIfoLIcz9GgukSynfdcS5P6z8tmMjCackbcNfyrc99doVEs+dRjQp9KHn/4lT8SeZPSOSjz//0r4aMyP56DP7adiLzt16UFmn583X+jJ/ZgQNGz9OGecy91TWgXMpDPv+EO+tOsafF1J559ka9/dki4G92/tU/EnmzIzko0/tU36jvz3Of1f9xN///V+WL1lEWpr90jIVhZNTyV+ljVIZhIQQFdHSP9REyz/0mBDiZdPufwkh/gBaA2MApJSDgXZoUwHHAEvNitsJtBJC1C3JOeh0egyJl3LfGwyJuUMJeTY6Ek02mZmZ3Lx5A2/v4g1/OELDq1Jlrl/O+7V9/UoynpUqW9mdPPgLW1b8g1c/mIiLa/5fjgd3b6Vhy2coU8CvPV+dPvf8AJIMiej0egubgn0wJCYy+t0RjJ84hYCAQJsaOr0eg6HwevLV63JtbGmMGTWC8RMK1vhf/SiKyr56ksx6b8lJBnx8dflsfHzzfpEbMzO5dfMmnl7elHFx4c13x7Lw2x/4KmI2N2/cwD+wupXGldsZuT0b0Ho3V816RgA304xkZmkZVjaduEytyo+Zjk2n8mN5be/zmBtXblsPZdm7vXU6HYbEvF5eUpLBqnzz701O+V455RsSeX/U23z59WT8C2zr/BqGpLweaHE0cqhZK4jy5ctzKv4kDwpnnEr8Km2UyiAEPAf8JaVMllJmACuBVqZ9/aWUTaSUPaSUuXdXpZSHpJQz0JLu9TYrawfwLrBeCFGFYtKwUWPOnTvLhYQEMjLSiV0fQ3BIaD6btiGhrFuzGoBNG2Np8eRTJRpztbeGf+16XL6UwFXDJTIzMvhz1xYatGidz+bC6ROsWBjJKx9MooJXRasy/ti5ucChuBwfzp/N70PbYAsfgkP5aa3mw+afY2nRUvPhRmoq77w1jLffHU2Tps0K1GjQML/Gxg0l0xg5Yhhvjyxc43/xoziI+g25cP4sly4mkJGRwbZNG2j1THA+m1ZtgtkYoz2OsWPrzzR5oiVOTk7cvXuHO3duA/Dr/j2UcSmTb0JDDvHJt6jiWRZdBTdcnJ1oU6siB87lH6aqWC7vx0SLQG8upNwB4I+EVB6v5sljbmV4zK0Mj1fz5I+EVCyxd3s3aNiY8+fyt/WzbUPy2TwbHMJPa9fYLP/dEcMZMfK9Ij9P5t+7n21oPBMcQrRJY4uZxoWEBDIzMwG4dPECZ86cpmrVQrPS2JVHoSdUKtcTEkI8idabaQHcAZYDv6AFlzFSyl/MbCugTWDYZnr/HDBTStnIYnbcG8BwoK2UsrALkp+iAAAgAElEQVSB/OycDNdxO7ZrU0WNWYT37M3gYcOZP3c2DRo2IjgklLS0ND75cCzy2DE8vbyYPHU6/gHaw8JdOoRy6+YtMjIy8PD0YH7UEoKCaltl0banxppDiRz7bS/rls0hKyuLFqFdaNd7ALHfLcE/qB4NW7Qm6sv3SDx3Go+KPgB4V9Yx6INJAFxNusT8T0bw0Tc/5JuJZZlFe+eO7UyL0HwI69mbwUOHs8DkQ1uTD59+OJbjx4/h5eXFpAjNh8ULF7B0SRSBZr/q5y9cQiUfH6ss2jvjthMZMRGjMYvwHr15fehwFsybTYMGZhofjUWaNCZGTMffP4DFUQtYtjiKwOp5GvO+0TQss2jfqx8AXTuatYWH1haN62vP8+Vk0d63O475MyPIyjLSqVsP+r86lOVR86hbvwGtngkhPS2NyV9+RPyJ43h4evHxVxFUreZP4qULfPDucJydnPHx1THmoy/RV6kKWGfRbuZvmqLt5MTmE5dZ8WciLzWrwqnLtzlw7jr9m1elRaA3WVnZ3EgzErX7LBeua+cXWseH3k20tl3xRyJbTmpTty2zaNuzvW/czWJn3HamR0zCmJVFWI9evD5kON/Mm039ho1oG6yV/9nH45DHj+Hp6cXEiMjctl6+ZFG+tp67YDGVfHyssmjvstB4zYbG52YaE0waMevWsHzpIlxcXXF2cmLwsDcJDn0OyM2i7dDLfPThpBJfwLs20pWqUFQqgxCAEOJLoA/aA0+/o03XjsU6CHmgTTwIQgtYt4CRUspfzIOQyfYLtER7HaSU+eet5pGtlnIoHLWUQ/FQSzkUn0doKQeHXuBjjpQ8CHVpWLqCUKl9TkhK+TnwucXmYBt2N4AuBZTxhY33X9iyVSgUCoXjKbVBSKFQKBSFUxonGpQUFYQUCoXiIaU0TjQoKSoIKRQKxUOKCkIKhUKheGA4qeE4hUKhUDwonB/+GKSCkEKhUDysPAo9oVL7nNADRFWIQqG4VxwaFbbKKyW+XoUIn1IVuVRPSKFQKB5SHoWekApCNnBENoM7GUUY/g+UM+Ww/OUv69xf94PmNbV1ZhzhgyPa4sqtTLuU7/OY9vVyhA+OyGbgO+h7u2kkL+sD2O8zlfN5csRn1pGoe0IKhUKheGConpBCoVAoHhjqOSGFQqFQPDAegRikgpBCoVA8rDg/Al0hFYQUCoXiIeXhD0Gld2XVUsGunXH06NaJsM4dWLo4ymp/eno640aPIqxzBwb0fZGLFxIASEm5xpBBA2nVohmTJ4wvQmMH4d060r1z+wI1xo5+l+6d2/Ny3xe4YKYxeNAAnm7RlEmFaPz5y27GvN6b9wb1ZO33y632Hzv0Gx+/9TIDujzFvrjN+fb9Z8kcxg3rw7hhfdizfeN99wFgyaKFdO/cnvBuHdm9K64QDfu3xd5dcbzUsysvhHXi22WLbGp8Om40L4R1YvDAl7h08QKgrbAZ/HQzXnmpF6+81IuICV8+MB927YyjZ/dOhHXpwLKCNMaMIqxLBwb2y68x9LWBtG5ZtEZoIz/2TOzM/sldeKdLPav9X73UhK1fdmDrlx3YO6kL8fN65u7r07oG+yZ3Yd/kLvRpXaMQP+z7mXLEZ9YhON3Dq5RRaoKQEMIohPhDCHFYCPGDEKK82b4eQohsIUQ9s201TNu+NttWWQiRIYSYa1F2b5Nt8+Kej9FoZPLX45m7YBEr1v7EhphoTp2Kz2ezeuWPeHh6snb9RvoPeIVZ0yMBcHdz5823RzJqzNgiNSZ9PZ55Cxazcm00G2J+stJYtfIHPD09Wbf+Z14e8Cqzpk/L1Xjr7ZG8V4hGltHI8nkRjP16FhFR/2XPto0knD2dz6ayrx/DRn9Oq5CO+bb/vm8nZ+KPM3H+v/hy1nJifvwnt2/dvK8+nDoVT+z6aFasiWb+N4uZ+NWXGI1GmxqOaItpUyYQOecb/r1iLZs2xPDX6fwa61avwMPTkx/WbqBP/4HMnzU9d181/wD+/t1K/v7dSsZ+bLkMluN8mDJhPHPmL2LFmp/YsD6a0zY0PD09WRtj0piRp/HGiKI1nJ2cmDzgCV6asYPWH2+g55PVqVvVM5/Np9/9QcjnGwn5fCOLN50k+lftAu79mBtjwhrS8atNdBj/M2PCGuJV3npes70/U474zDoKp3v4V9ooNUEIuCOlbCKlbASkoy3FnUNfYKfpf3P+ArqavX8BOGJuYFp5dSSwryQnc/jQQQICA/EPCMDV1Y2OnbuwbUv+nsK2LZvpHt4DgOc6dGT/vj1kZ2dTrnx5mjZ7And3t2JoVDfT6GpDYwvdw3sWoNEcN3f3Ass/JY+grxKAroo/Lq6uPNW2Pb/u2Z7PxtevKoG16uBkMbZ84dxf1GvUlDJlXChbthwBNetw8Nc999WHbVs207FzV9zc3KjmH0BAYHUOHzpYgMb/tXfe8VUU3R9+QkLoCS25KASQ4qFaQBQrSZBAKIGgVCuKFeyKAuqrvBZQUVSaILbX3kCUXhVRRLCB6BFQSgIpNCkKhITfH7NJbm5uQkL2hsBvHj/5eO/u7Hx3ZpZ79kw5E9i2WLd2DfXqRVG3ntG4vHNXli1dkifNsqWLie/eE4CYjnGs+n4FRY04UlrPUz1fjSU+GksW0T3BaHTs1JnvfTRCQwvXaNOoJpvS9rE5/QAZmVnMWLmF+HPrFpg+sX19Pl2xBYCYVnX4cl0qew4c5u9/MvhyXSqxrU8roK4C90yVxjNrKTplyQh5swxoAiAiVYFLgBuB/j7p/gF+8/Jw+gEf+qT5LzAGKGg7b7+kpaXiqZP7D8TjqUN6WqpPmjTqOGlCQkKoWrUae/bsKZZGnTp1vDQ8pOXTSPWjsbtI+e/amU6tCE/O95q1PezemV6ka+s3asrPq7/l0MGD7Pt7D+t+WcXO9NR86UpShqJcm319oNsiPT2vRkSkJ59GenoaHud+Q0JCqFK1Gn87GtuTk7luwBXcPvg6fvoh/1bbpVIGr3oGiPTUIS3Vpwwl1DitRiWSd/2b833brn84rUYlv2nr1apMg9pVWPZbWs6123b9c8xrA/1MlcYzW1oEBRX/r6xR5oyQiIQA8cAa51BPYK6q/gHsFJG2Ppe8D/QXkSggE9jmlVcbIEpVZwX+zk8tzmrbnnPaXcxj997A+NEjadq8NeXKlbnHpUxQq3YE02cv5M33PuHOe4fx2MhhHNifv+vy/xuJF9Tn81VJZNn4lAHjFBgSKlNGqJKI/ASsArYA05zjAzCGBuf/vl1yc4FOGC8pJ66IiJQDngfuO56biYz0kJqyPed7amoKEZEenzSRpDhpjhw5wv79+6hevXqxNFJSUrw0UonMp+Hxo1GjSPnXrBWRx3vZtSOVGrUiinx/vQbcwNMT32X40xM4ehROq9vA1TIU5drs6wPdFhEReTXS01LzaURERJLq3O+RI0c4sH8f4dWrExoaSrij1axFS+rWi2LLlk2lXwavegZIS00h0uNThhJqbN/9L3Vr5novp9eszPbd//pNm3h+fT79bnOea0+vmTPUW+C1gX6mSuOZLTVOAStUloxQ9pjQOap6h6oeFpGaQCzwqohsAh4A+opITlWq6mFgNcbYfOyVXzWgFbDUubY9MLOokxNatmrNli2bSU5KIiPjMPPmzCY6JjZPmg4xsXz+2QwAFs6fR7sL2ucbWzm2xiaSk7Y6GrPo4Fdj+nFpNJIWpGzbQlpKMkcyMljx5QLatr+sSNdmZWayb6/pptny53q2/rWe1m0vcLUMHWJimTdnFocPHyY5aStbtmyiVeuzCtAIbFs0b9mKpK1b2JZsNBbOm80lHWLypLm0QwxzvvgMgCWL5tO23QUEBQWxe/eunMHp5KStbN2ymbp165V6GVq2as3WzXk1OkT7aETH8sVMo7FowTzanV88jR//2sUZkdWoX7sK5YPL0ev8+sz9MTlfuiZ1qhFeJZTvN+zMObZkbQrRLT2EVy5PeOXyRLf0sGRtSr5rA/1MlcYzW1qcChMTyvo6oSuB/6nqLdkHRORL4FKMt5TNWOBLVd0lIgCo6t9Aba/rlgL3q+qqogiHhITw4IhHuP2WG8nKzKJn4hU0btKUieNfokXLVkTHxNKr95U8PHwYCfFxhIWHM/rZ3NlSXeNiObD/ABkZGSxZvIiJU6bRuHGTfBoPjXiU224ZTFZmJj0Tr6BJk6ZMHP+io9GRxN5XMnL4A/SI70RYeDhjnn0h5/r4uFgO7N/vaCxk0pTX8mgEB4dw/e3DGDPyTrKyMukQl0C9ho35+K3JnNG0OW0v7MBG/ZUX/juMf/bt5cfvvuaT/73CM1M+5EjmEUbdfzMAlSpX4bZhowgOzv+4lKQMTZo0pVPneHondCU4JJjhIx8lODj4hLXFvQ+O5J4hN5OZlUX3hEQaNW7C1Ekv06xFSy7tEEv3Xlcw6pGH6JPQhbDwcEY9bWZM/fTDKl6dNJ6QkBCCypVj2IhHCQuvfkLK8OCIRxhyq9FIcDQmORodHI1Hhg8joWsc4eHhPP1Mrka3zrkaSx2NRj4amVlHGf7OD3x4XwfKlQvivWV/otv28mCvVvy0aRfzfjK94YkX1GfGd1vyXLvnwGGe/3wdCx7tBMDYmevYc+BwqT9TpfHMlhZlcYynuJSZ/YREZL+qVvU5tgQYo6pzvY7dCTTHTDb4wplN533N9cB5qjrU5/hSimaEjtoo2oVjo2gXDRtFu+icQlG0S9Us/LBpb7Ebvk3DsDJlusqMJ+RrgJxjMX6OveT1tZWf828Ab/g5Hl2iG7RYLJayRpkyJ8dHmTFCFovFYikeZXGMp7hYI2SxWCwnKafCmJA1QhaLxXKScgrYIGuELBaL5aTlFLBC1ghZLBbLSYodE7JYLBbLCSNQY0Ii0gV4EQgGXlXV0T7nLwPGAWcB/VX1Y69zmeSGXduiqgmFaZWZdUJlCFshFovleClV12Rt0v5i/161qle10HsUkWDgD0w4tCTge2CAqq7zStMQCAPuB2b6GKF8az4Lw3pCFovFcrISGJN3PrBBVf8EEJH3MYGkc4yQqm5yzmWVVMwaIT+URiSA0tD4ZWtgIjmfFWVeck6VSAD/BEijspP/nn8Dt+lZ9UomZEzq3sA9UJ4w80DtPxS4tqhawdTV26uTjpHy+Li6rYnl9/xXfx4j5fFz72WNApZ3QQRoTKgusNXrexKQP3BkwVQUkVXAEWC0qs4oLLE1QhaLxfL/CBG5GbjZ69AUVc2/x/nx00BVk0WkEbBYRNao6saCElsjZLFYLCcpxzMxwTE4hRmdZCDK63s951hR8092/v+nE7PzXMAaIYvFYjnVCNAsiO+BpiJyBsb49AcGFuVCEakB/KOqh0SkNnAx8Exh15Sl/YQsFovFUhwCsKmdqh4BhgLzgN+AD1X1VxEZJSIJACLSTkSSgD7AKyLyq3N5c2CViPwMLMGMCa3Lr5KL9YQsFovlJCVQi1VVdTYw2+fYo16fv8d00/le9w3Qujha1ghZLBbLScqpEMDUdscVwvKvv6Jn9870iO/Ea6/mH8c7fPgww+67mx7xnbh6QB+Sk8300j17djN40DVc2O5cnn5yVEA0AKZNfYUe8Z3o2b0z3yxf5jf/H1d+w53X92botT2Z/t7r+c6v++UHht06kH5x5/PtVwtzjq/96Xvuv2VAzt/A+AtZuXxJAWVYRq/uXUiIjyuwDA/edw8J8XFcM6Av27zq6aZB13JRuzaMPmY9LSOxRxcSusbxekEa999DQtc4rh2Yq7Him+UM7Nubvok9GNi3Nyu/W1GoRi9Ho8ByOBrXDPQpxw3XctH5hZfj2+XL6NOzK1f06Mybr031m//IYfdyRY/O3HB1P7Yl5x0LTtm+jegL2/L2m68VqPHdN19z1RXdGZAYz9tvvOpX4z/D72NAYjy3XD+A7duMxvw5X3DDwCty/jqc35r1+rtfjW++XkbvHl3o2S2O16f5r6eHHriHnt182uLb5VzVrzd9e/fgqn4Ft8WGn1cy4b7rGH/PNSyf+V6+86sXfs7kBwczZfjNvPHYXaQnbQLgn31/89YT9zJ6UDfmvP5Svuu82bJ2Fe8/PJj3RtzAj3M+zHd+3dJZfPTYbXz8+BA+G3Mfu7dtBmDfjlRevb0nHz8+hI8fH8JX/3u5UJ1AE4DeuFKnVD0hEakHTABaYMJBzAbuU9VDzvlxmD7GKFXNco5dD7wOdFLVhc6xXsB0oI+qfiwiQ4G7gcZAhKru8NKMxoSXKA/sUNUORbnXzMxMnn5iFJOnvo6njoer+l1Jh5jYPFsqT//0I8LCwvh8zgLmzp7Fi88/xzNjx1EhtAJD7riLDevXs2HD+oBobNy4gXlzZvHJZ7NIT0vllsGD+GzWvDxbDWdmZjLt5dE8MmYiNSM8DB9yDedd1IGoBrnrGWpH1mHIsMeZ+eH/8txbq3Pa8dwr5gdg396/ueO6Xpzdtr3fMox+YhSTpr7mlKFPvjLM+PRjqoWFMXPOfKcMYxkz9gUqhFbgdqeeNm74o9B6GvPkKCZOMRpX9zcajXw0wsLCmDl7PvPmzOLFF8Yy5rkXqF6jBi+On0REpIcN6/9gyK2DmbfoK//leHIUkxyNq/oXUo7Z85nrpVEhtAK3D72LDRvWs3G9/3JkZmby7NNP8PLkV4n0eLj+qn5c2iEmTxlmTv+EamFhfPL5PObPnc2EF8fypNf22+PGPsOFF19aaD298MwTPD9+KhGeOtx8XT8uuSyGho0a56SZ9dmnVAsL473pc1g0fzaTX36ex58eS1x8d+LiuwOwccMfjLz/TppKM//19JTTFh4P1wzoQ4do/23x2SzTFi+NG8voZ1+gevUajHs5ty2G3jaYuQvztkVWViZzX3+Jq4Y/Q1itCF59+HbObHMhEfUa5qRpdVEsbS/vAYCu/oYFb09m4EOjCSkfSvSVg0hP2kTa1r8KrKesrEyWvzuBbvc8RZUatfn0ybtoePYF1Di9QU6aJhdE0yK6GwCbflrBNx9OpdvdTwAQFnEaV/5nQoH5lypl0aoUk1LzhEQkCPgUmKGqTYGmQCWcmRMiUg5IxCyS8jUUazAzNLIZAPzs9X05cDmw2UezOjARSFDVlhgDVyTWrvmFqPoNqBcVRfnyoXSO78bSxYvypFm6eDE9eiYCcHlcZ1Z+9y1Hjx6lUuXKnNvmPEIrVAiYxtLFi+gc343Q0FDq1osiqn4D1q75Jc+1G/RX6pwehef0epQvX56Lo+NYtXxpnjSRdU6nQaOmBJUr+Gle8dUizm13ERUqViqgDPW9ytDVTxkW0aNnrwLqqS0VKoQes57q+Wos8dFYsojuCUajY6fOfO9oNGvegohIDwCNmzTl0MFDHD58uGjl8KPRw9G4vJOfcoQWXI51a9dQL6o+deuZ/Dt1juerpYvzpPlq6WK69TD5x14ex/crV5AdVuvLxQs5/fS6eX7sffnt1zXUjarP6fWiKF++PB07xfP1l3k1vv5qMV269QSgQ2wcP3z/Hb6huxbNm03HuHi/Gr+uderJKUdcl/z19OXSvG2xshhtsW3D79Tw1KWG53SCQ8rT8sIYdPU3edJUqFwl53PGoYM5P8ShFStRv1lrQsqXL7COANL++oOwiNMJiziN4JDyNGnXgU0/5fXKQivlahw5dJCgMtrvFXQc/5U1SrM7LhY4qKqvA6hqJnAPcK2IVAWigV+BSRgj480y4HwRKe+kbQL8lH1SVX/MDiPhw0DgU1Xd4qRLK+rNpqWlUqdOnZzvHo+HtLRUP2lOAyAkJISqVauxZ8/uokqUSKMo1+7akUYt5x89QM0IDzt3phf5/rJZvnQel8R2LrAMHuf+zH3UIT1fGdL8lGFPkfXTveoAINJTh7TUVJ80x9ZYtGAezZq3INSPsfBbjlT3ymHyz22vSE8d0tPyPo7paalEOmmy8/97zx7++ecAb70xjcG33l6oxo70NCI9uRoRHg/p6Xk1dqTlpgkJCaFK1ar8/XfeMixeMJeOcV39lyM1FY+n8PZOT03LSVPctti7ewdhtSJyvofVjGDfrh348v38GYy/+2oWvTuFztcO9XuvBfHPnh1UrZmrUaVGbQ7s2Zkv3doln/PeiEGs+GQaF/e/Nef4vh0pfDxqCDOffYDtf6wtlrbbBAUV/6+sUZpGqCWw2vuAqu4FNmGMygDgPUw3WzcR8X6dOQosBDpjYhjNLKLmmUANEVkqIqtF5NoSleD/Ibt3prPlrw2cfd6FJ/pWSsTGDet56YWxjPzP4yf6VorN1MkTGHDVtVT28gACxbq1v1ChYiUaNWkaMI2NG9bz0rixjHj0+NuiXVwvho57m9gBN/H1jLddvLtcWsX0YMBTr3PBFTfwwyzTNV05vAZXjXmLKx+dwIV9b2bRq2M4/O+BgOgXhVNhTKisTEwIBbpiuur2At9hDI4372O65PpjjFVRCAHaAt2c/B4RkTOLcmFkpIeUlJSc76mpqUR6eRW5abYDcOTIEfbv30f16jWKeGsl0yjKtTVrR7LT6y11V3oqtbzeMovCN18u4PyLYwgJ8d/FERnpIdW5P3MfKTldLrlpIv2UoXqR7yHCqw4A0lJTiPR4fNIUrJGaksJ9dw9l1FNjiIqqX/RyeNwrh8k/t73SUlOIiIzMV840J012/uHVq/Prml8YP24sveIv5/13/seb06bw0fvv5NOoHRFJWmquRnpqKhEReTVqR+amOXLkCAf27yc8PLcMi+bP4fLO/rviACI9HlJTC2/vCE9kThp/bXH/PUMZ9aT/tgirUZu9Xt763l3pVKtZu8D7aXVhDLrqmwLP+6Ny9drs35WrcWD3DqpUr1VgetNd9y0AweVDqVg1DICIBk0JiziNv1OLHEzAfU4BK1SaRmgdxiDkICJhQB3AA1QH1ojIJuASfLrkVHUlZv55bVUteBQ7L0nAPFU94ExW+Ao4uygXtmzVmi1bNpGctJWMjMPMmzOLDjGxedJ0iInl88+mA7Bw/jzaXdC+WH3HJdHoEBPLvDmzOHz4MMlJW9myZROtWp+V59om0oLtyVtJ3Z5MRkYGy5fO57yLijQvI4fliwvuisstw2aSk5KcMswm2m8ZZuQrQ1Fp2ao1Wzfn1egQ7aMRHcsXM43GogXzaHe+0di3dy93DrmFO+6+j3PObVN4OXw0ov1ofO5oLPTSKArNW7Zi65bNbEs2+S+YN4fLOsTkSXNphxhmfW7yX7xwPue1u4CgoCCmvP42M+YsZMachfS/6hquu/Fm+vS/Kp9GsxatSNqyxdHIYNGCOVx8WV6Niy+NYe6szwD4cvF82jgaAFlZWSxZOI+OnQo2Qi1a5m2L+XOL1xZ3Db2FO+4quC1Ob9yMXSnJ7E7bTuaRDH79dglntr0oT5qd23NniK7/cQU169Qt8H79EdnwTP5O28be9BQyj2Sw4fsvaXB23kk33oZl85qVhEUajX/37SErywSk3Zu+nb/TtlEt4jROFKfCmFBpzo5bBIwWkWtV9S1nz4qxwHiMwRmsqu8BiEgV4C8RqeyTx0PAwWJofgaMF5EQjLd1AfBCUS4MCQnhoRGPctstg8nKzKRn4hU0adKUieNfpEXLVkTHdCSx95WMHP4APeI7ERYezphnc7OOj4vlwP79ZGRksGTxQiZNeS3PTKuSajRp0pROnePpndCV4JBgho98NM/MOIDg4BBuvGMYTz40lKysTGK69CSqYWPef2MSjc9sQbuLOrDh91959rH7ObB/L6u/XcaHb77CC9M+AiAtZRs70lNpcVaed4d8ZXhwxCPcfsuNZGVm0TPxCho3acrE8S85ZYilV+8reXj4MBLi4wgLD2f0s7kzvrrGxXJg/wGnnhYxcco0v/X04IhHGHKr0UhwNCY5Gh0cjUeGDyOhaxzh4eE87cwq++C9d9i6dQtTJ09k6uSJAEx8ZRo1a9Xyq3H7rUUoR1enHF4z17p2zl+O1s2b5sn//odGcudtN5GVlUWPnok0atKUVya+TPMWLbksOpaExCt4bOSDXNGjM2Fh1XlizHMF1ntBbXH3sBHcf+ctZGVm0jUhkTMaN2Ha5PFI85Zc0iGGbj178+R/hjMgMZ5qYeE89uSzOdf//OMqIj11OL1eVKEaw0Y8wtDbbiQzM4uevZy2mPASLVqYtuiZeCWPjBhGz26mLZ7Kbov332Hrli1MfWUiU18xbTFhct62KBccTJfr7+Dd0Q9yNCuLs6PjiazXkKUfvc5pjQRpexGr5s/gz7U/EBwSQsUqVUm47cGc61+6cyCH/v2HzCMZ6OrlXPXQmDwz67I1Lhl4G7PHPczRo5nIxXHUrNuA7z97i4gGZ9LwnPasXfI5yet+pFxwCBWqVCVm0H0AbP9jLas++x/lgkMIKhfEpVcPpWKVasVqJzcpi2M8xaVUN7UTkSjMFO3mQATwAWZyQhLQ0OmKy077qXO+EnCeqg71yesN4AtnivadwDCMV5UGzFbVwU66B4BBQBZmh8Bxx7jNo3Yrh8KxWzkUDbuVQ9E5hbZyKFWzsGnHwWI3SsPaFcuU6TphO6uKyEWYsZ1EVf3hhNyEf6wROgbWCBUNa4SKjjVCx8emncdhhGqVLSN0wsL2ODGGGhwzocVisVj8UhbHeIpLWZkdZ7FYLJb/h9gAphaLxXKScipMTLBGyGKxWE5STgEbZI2QxWKxnKxYT8hisVgsJ5CT3wqdsCnaZRhbIRaL5XgpVauQvKf46wvqVg8tU5bLekIWi8VyklKmrMlxYo2QH0pjIenBI4HTqOi06qadxYlwVHQa1qoIlM5i1UAtJIXcxaSBKkd2GfYezApI/gBhFc0qix37A/dA1a5qHqjSWDg89bvNx0h5fNx0gVmSOGT6bwHJH2BCYvOA5V0QdkzIYrFYLCeMU2GxqjVCFovFcrJy8tsga4QsFovlZOUUsEHWCFksFsvJih0TslgsFssJw44JWSwWi+XEcf3nfgYAACAASURBVPLbIBtFuzCWf/0VPbt3pkd8J157dUq+84cPH2bYfXfTI74TVw/oQ3Ky2Qtlz57dDB50DRe2O5ennxxVuMayr0jo1pnuXToxbap/jQfuu5vuXTpxVf9cDYBpU1+he5dOJHTrzPKvlxWo8f2K5dzYP4Hr+3Tng7em5Tu/5sfVDLm+H/GXtmHZ4gV5zi2YPZNBfXswqG8PFsye6b8MXy+jV/cuJMTHFVhPD953DwnxcVwzoC/bvOrppkHXclG7Now+Vj19vYxePbqQ0LUQjfvvIaFrHNcM9NG44VouOr+IGgEsxzfLl3FFQjyJ3TvzxrSpfvMf/sA9JHbvzPVX9WNbstli+tc1vzCwb6L569OLJYsW5Ls2mxXfLKN/72707dmF/73uX+ORh+6jb88u3HRtf7ZvMxrbtyUTc1EbrhvQm+sG9OaZpx4vtJ4SnbZ4/Rhtca1XW6z4ZjkD+/amb2IPBvbtzcrvVhSo8dcv3zNt2A28ev/1fPf5+/nO/7T4C94YcTNvPnwr7/33HnYkm6nd2zf+zpsP32r+Rt7K+lVf+82/RWQVHr28EY91akynM2v5TQNwzunVmJDYnPrVzbKEBjUqMjzmDPMXewZnn3bidlUFY4OK+1fWKFVPSETqYXZWbQEEA7OB+1T1kHN+HNAHiFLVLOfY9cDrQCdVXegc6wVMB/o4O6sGAU8412YCk1T1JS/ddsC3QH9V/bgo95qZmcnTT4xi8tTX8dTxcFW/K+kQE5tn6+npn35EWFgYn89ZwNzZs3jx+ed4Zuw4KoRWYMgdd7Fh/Xo2bFhfqMZTT47ilamv4/F4GNjvSqJjYmncxEvjE6PxxdwFzJk9i3HPP8ezY8exccMG5s6exaczZ5GWlsotgwcxc9a8fFt8Z2ZmMuG5p3j6xVeoHenhjhsH0v7SaBqc0TgnTUSdOtz38H/5+N0381y7d+/fvP3aZF5+7T2CCGLoDf1pf0k0OOuEsvMf/cQoJk19zamnPvnqacanH1MtLIyZc+Y79TSWMWNfoEJoBW536mnjhj8KrafRT45i0hRHo38hGrPnM3fOLF58YSxjnnM0ht7Fhg3r2bj+GBoBLEdmZibPPPVfxr8yDY/Hw3UD+3JZdAyNvPL/bPrHhIWFM/2LecyfM4uXxz3H08++QOMmTXnr3Y8ICQlhR3oaA/skcmmHGEJCQvJpjB39JOMmTiXS42HwNf24pEMMZzTK1fhixidUCwvjw8/msnDebCa+9Dz/HT0WgLr1onjzvU8LrKNsjTFPjmKi0xZXO23RyKeewpy2mOfVFtVr1ODF8ZOIiPSwYf0fDLl1MPMWfZVPIysrk4VvjafPsNFUq1mbt/9zB43bXEjturnbjzW/MIZzYrsDsOGHb1n67itc+cBT1K7XkGsen0C54GD279nJmyNvpfG5F+bJPwjoe3YdXl6+hT3/ZjAs5gzWbN9Hyr7DedJVCClHTOOa/LXr35xj2/YeYszSv8g6CmEVQhjR8QzWpOwj6wTFWTkVxoRKzRNyDMWnwAxVbQo0xWzd/YxzvhyQCGwFOvhcvgbo7/V9APCz1/frgSigmao2B3JenUQkGBgDzC/O/a5d8wtR9RtQLyqK8uVD6RzfjaWLF+VJs3TxYnr0TATg8rjOrPzuW44ePUqlypU5t815hFaocGyNKEcjNJQuXbuxdElejSWLF5PgaHSK68zKFUZj6ZJFdOnajdDQUOrViyIqqgFr1/yST0PXreX0elGcVrce5cuXJ/ryLny7bGmeNHVOq0ujJmdSrlzex2H1im9o0649YWHhVAsLo0279qxasdxPPdX3qqeufuppET169iqgntpSoULosevJV8OnnpYuWUSPBEejkx+N0OPQcLEcv679haio+tSrZ/Lv1KUrXy5dnCfNV0sW0y2hJwCxnTrz/coVHD16lIqVKuUYnEOHDhNUwC/Pb7+uoV5UFHUdjY5xXVm2dEmeNMu+XEzX7kYjumMcqx2NorJ2zS/UK0JbdHfaomOnznzv1FOz5i2IiPQA0LhJUw4dPMThw4fzaaRsVGpEnk71yNMIDilPs/Yd2PjDN3nSVKhUJedzxqGDOa/45StUpJzzInYkw39dNaxZifQDh9n5TwaZR2F10l7O8uPRdG8ewfw/dpKRmbvYOCPzaI7BKR8cxImOehZ0HP+VNUqzOy4WOKiqrwOoaiZwD3CtiFQFooFfgUkYI+PNMuB8ESnvpG0C/OR1/jZgVLb3pKppXufuAD4BvI8dk7S0VOrUqZPz3ePxkJaW6ifNaQCEhIRQtWo19uzZXXSN1FTqnJarEenxkJp6DI1qRiM1NRWP9/3V8ZDmcy3AzvQ0Ijy56WpHRLIjPX86f+zYkUZEpNe1kR527MhbjWlpqXic+wPweOqQnq+e0vzU054i3UOBGvnqKQAaLpYjPS0tb3tFevyUIfcesvP/28l/7S8/0zexOwOu7MlDD/8nnxdkNFKJ9OSWIdLjId2nrdPT04h0noeQkBCqeGlsT07m+oFXMOSm6/jpx9UFlCP3eTQadfI9d+lFqKdFC+bRrHkLQv28HOzbvYNqtSJyvletGcG+3Tvzpftx4Uym3n8dX30wlY5XD8k5vn3jb7w+/CbeHHELna6/M8coZVO9Ygi7/82NMLHn3wyqV8xbn1HhFalRKYRfU/fn021YoyIPd2zEyI6NeP+nlBPmBYHxhIr7V9YoTSPUEsjzZKvqXmATxqgMAN7DdLN1E5HyXkmPAguBzkBPwHdwojHQT0RWicgcEWkKICJ1Md7VJNdLY7GUIq3OOpsPp3/Bm+9+yBvTpnLo0CFX869VO4JPZy3kjXc/4Y57h/H4yGEc2J//B9gNNm5Yz0svjGXkfwoedyoK516ewE3PvcllfQfz7Wfv5Bw/rXFzBj09lasfG893X3zAET/eVmEEAb1bR/LpWv/vrZt2H+SJRX8yZulfxJ1Zi5ByZfCX/SSirExMCAW6Yrrq9gLfYQyON+9juuT6Y4yVNxUwXtZ5wFTgNef4OODBbA+pOERGekhJScn5npqaSqTTlZA3zXYAjhw5wv79+6hevUbRNTweUrbnaqSlpuLxHENjn9HweDyket9fSiqRPtcC1IqIJD01N92O9DRqR+RP54/atSNJT/O6Ni2V2rUj891fqnN/AKmpKTldLrlpIv3UU/Ui3UOBGvnqKQAaLpYjIjIyb3ulpfopQ+49ZOcf7pP/GY0aU7lyZTb6GWuMiPSQlppbhrTUVCJ82joiIpI053k4cuQIBxyN0NDQHK1mzVtSt14UW7Zs8quRkuKtkZLvuYsopJ5SU1K47+6hjHpqDFFR9f3UFFSrUZt9O9Nzvu/flU61GgVPHmjWPpoNPt11ALXq1qd8hYrsSMpbjj0Hj1CjUq7nU71SefZ4BXOsEFKO08MqcPcl9RkV15gzalbilvb1ciYnZJO67zCHMrM4PazwbndL4ZSmEVoHtPU+ICJhQB3AA1QH1ojIJuASfLrkVHUl0Bqoraq+o79JmPEmMJ7UWc7n84D3nTyvBCY6kxqOSctWrdmyZRPJSVvJyDjMvDmz6BATmydNh5hYPv9sOgAL58+j3QXtC+yvL0wjKWkrGYcPM3d2fo3omFhmOhoL5s/jfEejQ0wsc2fP4vDhwyQlbWXLlk20an1WPg1p3pLkpC2kbEsiIyODpQvn0v4S3yE3/7RtfxGrV37Lvr172bd3L6tXfkvb9hf5KcNmkpOSnHqaTbTfeppRsnra7KMR7aMRHcvnMx2NBfNod/7xtEXgytGiZd78F8ydzWUdYvKkuTQ6hlkzPwNgsVcZkpOSOHLE/Ehu35bMpk1/cvrpdfNpNGvRiqStW9iWbDQWzZ/NJT4al3SIYfYXRmPpovm0bXcBQUFB7N69i8zMTACSk7aydctm6tat57eetvq0RQc/bfGF0xaLvMqxb+9e7hxyC3fcfR/nnNumwLqq00jYnZrMnvTtZB7J4PcVX+abXLA7JTnn858/f0cNj6mPPenbyXLK8feOVHZt30qYjyHevPtfIquGUqtyeYKDoG29MNZs35dz/uCRLB6cvZ5H52/k0fkb+WvXv7yyIoktew5Sq3J5sh2fmpVC8FQNZec/AYx4fAxOhe640pwdtwgYLSLXqupbzoSBscB4jMEZrKrvAYhIFeAvEansk8dDgL/Q0DOAGOAvzKSGPwBU9YzsBCLyBvCFqs4oys2GhITw0IhHue2WwWRlZtIz8QqaNGnKxPEv0qJlK6JjOpLY+0pGDn+AHvGdCAsPZ8yzL+RcHx8Xy4H9+8nIyGDJ4oVMmvJanplW2RrDRz7KbTcPJisrk16OxoSXX6Rly1ZEx3Yk8YorGfnQA3TvYjSeec5oNGnSlLgu8SQmdCU4OJgRDz+ab2YcQHBICEPuHc6Ie24jKzOLuO69aNioCW9OncCZzVpy4aXR6Lq1jBp+D/v27WXF11/y1rSJTH1nOmFh4Vw16GbuuHEgAFcNuoWwsPB8ZXhwxCPcfsuNZGVm0TPxCho3acrE8S859RRLr95X8vDwYSTExxEWHs7oZ5/Pub5rXCwH9h9w6mkRE6dM81tPD454hNtvLYJGV0fjGS+NzsXQcLEcrZs1zZP/sOEPc+dtg8nMyiKhV28aN2nK5Akv0bxlKzpEx9Iz8Ur+M/JBErt3JiwsnCefMbPWfv5xNW+8NpWQ8uUpFxTEgyMepXqN/B53SEgI9wwbyb1DbyYzM4vuPRNp1LgJUye9TLMWLbm0Qyzde17Bfx95iL49uxAWHs7jTz0HwE8/rOLVyeMJCQmhXFA5HhjxKGHh+b287Hoa4rRFglNPk5x66uDU0yNOW4SHh/O00xYfvPcOW7duYerkiUydPBGAia9Mo2atvF5OueBgOl47lE+eGUHW0SxaX9aZ2vUa8vUnb1LnjDNp0uZCflz4GZt//ZFywcFUrFKN+JsfACD5j1+Z/sWjlAsOJiioHJdfdweVq+V9ZrOOwoc/pzDk4ijKEcS3m/ewfd9hujWvzZbdB1mTUnA3ZONalYg7M4rMrKNkAR/8nMKBw5kFpg80ZXGiQXEp1U3tRCQKM0W7ORABfICZnJAENHS64rLTfuqcrwScp6pDffJ6A2NUPhaR6sA7QH1gP3Crqv5cUPpj3OZRu5VD4ditHIqYv93KocicQls5lKpV2Huw+NMiwiqWrUGsUl0npKpbgQQAEbkIM7bziqrW9JO2t9fXN/ycv97r8x6g2zG0ry/svMVisZxslClrcpycsLA9qvoN0OCYCS0Wi8Xin1PACtnYcRaLxXKSciqMCVkjZLFYLCcpZXG2W3GxRshisVhOUgJlg0SkC/AiJsbnq6o62ud8BeAtzLKbnUA/Vd3knBsO3IiJ43mnqs4rTKusLFa1WCwWS3EJQBhtZ/nMBCAeE2x6gIi08El2I7BbVZsAL2Dic+Kk64+JkNMFszYz/9oRL6wRslgslpOUAAUwPR/YoKp/quphTLSanj5pegLZYfc/Bjo6Qap7Au+r6iFV/QvY4ORXILY7zg+Vyh87TUmpWAo137BWxWMnKgHZ62ACqhFaChoBLkf2Wp5Akr2WJ5BUKYW2yF7PEyictTynDAEaE6qL2c0gmyTggoLSqOoREfkbqOUcX+Fzbf7wHl5YI5SfU2Coz2Kx/H+gYkjxf69E5GbgZq9DU1Q1/+6EpYQ1QhaLxfL/CMfgFGZ0kjH7s2VTzznmL02SiIQA4ZgJCkW5Ng92TMhisVgs3nwPNBWRM0QkFDPRwHf7nJnAdc7nK4HFqnrUOd5fRCqIyBmYzUtXFiZmjZDFYrFYclDVI8BQYB7wG/Chqv4qIqNEJMFJNg2oJSIbgHsxwaVR1V+BDzG7JswFhjgbmBZIqQYwtVgsFovFG+sJWSwWi+WEYY2QxWKxWE4Y1ghZLBaL5YRhjZDFdUQkvJBz57mkUeCSYmdWTpnH2eSxoHPdS0E/NNAaFsuxsOuEioGItCnsvKr+4LJeZUzsps2qmu5SnhWBfsBu4HNgGHApsBH4r6rucEFmoYjEqepuH+04zKyaAn98i8FnItLLCSvirXE28BnQsKQCInK27w69XuduU9VJJZRYICJdsgM/euV9AzAS+KKE+SMij6rqKD/HwzH1FF1SjQJ027j978Er7ybA2cBvqrouEBqOToKq+k5NtriMNULFYxWwFsj+ofZerXwUiC1J5s70x5eAXcDDmCCCqUBDEXlQVd8s7Poi8haQAVQB7sOUZzxwCWYHWzfewKcAS0SkU7bxFJGBwJMcYwfcYvADMEdEeqjqP45GNPA/4AaXNKaLSB9VXe19UEQeB3oAJTVC9wLzRaSbqq538h4ODAQ6lDDvbC4RkSdVdWT2ARHxYKbffuqGgJ+XsyDMS0IPIKikxkhElgB9VHWHiFwDPAJ8BTwmIlNU9eWS5O9o9PY5FARMcBZioqqu1JUlP9YIFY97MQuz/sUE9ZuuqvtdzP+/QBxm9fES4CxV/VNEIoFF5AYMLAktVLWV848rSVWzf+zmiojft/7ioqpTReQgsNjxfvoBtwIxvm/9JdB4WEQeBuaJSDym3sYBiaq6yg0NoA/wkYhcparfOgEaJwGCCx6Eqs4WkUMYY9oLGIwJ9niZrxdZAhKAj0XkeVW9V0SaAnOA51R1sksaqzDxwg55HasFPI8LL2dAhJeHfidwoarudHoKVgAlNkLABxjDnEbuy2UVzMvGUVwy2Jb82DGhYqCq41T1EuAOTJfSIhH5UETOcUkiS1X/UNXvgb9U9U9HNw044pLGYSfPI8A2n3OFLiorDqr6P2AU8CPmzf4StwyQl8YTwHRgNTAaiHXRAOF4QL2At539VT4GIoAuqrrXJY1FwCBgKdAIUwa3DBCqehBIxHjT7wELgQdcNEBgjHUG8IyqxqhqDJDifC6pAQLIEJHsIJj7gQPO50OY/W7c4CKgEvC9qg5S1UHADuezW561xQ92sepxIiItMeEsrgGGqeqHLuT5M+YNuxyw2Pmc/Va2RFXPdkEjDePFBWE8lPedU0FAX1X1uKCxBvP2GAQ0ANIxPxxBwFFVPcsFjc+9NC7GhIxPyT6vqgkFXFocjZrOxxbADMwP+FAgy9HYVcL895FbhgqYH/JMcusprCT5Oxr3Oh/LY8b/lmG6sgBQ1edLquHoVMV48vUw3bxLVbWRS3lHY7qmPwFqAm0wXsslwDxVfc4lnXKYF8xewIOYLQlcKYOlYGx3XDEQkUYYw9MTE8b8feApVf3XJYlwzFt9tuHx7kt3623hAa/Pvl6DW15EwGd2Ac8V8NlNVpNb7/sw4exX4hgJjOdy3KhqtRLdXdHw1njJzzFXcLql73HGh950U0NVl4rIRRiPuhqmXQ4Cd6jq7y7qZAEvisjHmI3aLKWA9YSKgYhkAb9gZhXtxccwuPVWWdqISA1gjxOAMBD51wIuA7b4DvK7qFEeaAUkO92XZR5nTCNDVTOc7wJ0BTap6vQTenMlwBk7q+ZWl6Xl1MYaoWIgIo9RiEeiqo+XMP8GGGPwt/M9BtM1sAmY4Dsd+Tg1HsUEJPzd2Sd+DnAOZsxpoKoudEHjC+AhVV0rIqdhPLpVQGPM3iXjXNCYDLzsBFYMB77FdGXVBO5X1fdc0Ahoe4jIV8CNqrremXa8EngH0/33vao+VJL8HY2bMF1j6x3jMA24AtgMXKeqP7qg8VJh51X1zpJqFKI9RVVvPnbKY+YzFNP9tsNpi9eA1sAfwGBVXVNSDYt/bHdcMVDVxwIs8SFmEPlvZ7LDR8DTGCMxETN7qqT0w/TdgwnFHoQZbD8T041SYiMEnKGqa53Pg4AFqnqtiFQDlmNmsZWUS1X1Vi+NP1S1l4jUwRjWEhshAt8eNbKnZmPa4j1VvcNZRLoaJzJxCbkLM/UeYABmfU0j4FxM99ylLmjcipnq/yFmsourG0N6jc35EoTxHN3gNlUd73x+EXhBVac741GTMeOOlgBgZ8cVAxGZ7/V5eAAkKqlq9oy1q4HXVHUs5ke20H3ai8Fhr263zpi3v0xV/Q33XkoyvD53BGYDqOo+nEF9F/D2QjphJg6gqin+kx8XgW4Pb686FlgA4HhYbtXTkezuPsxY3VuqutPxeKu4pHEaZm1YZ8xEnfLAZ6r6pktr29IxnvRqr79Vzl+kC/lD3mc/Mrs7VFWXEoAxNEsu1hMqHhFen/tg3ordxPsNMhYYDmbA1AwXuMIhEWmFWQQbA9zvda6ySxpbReQOzP7ybTD7iiAilTA/UG6wxwltk4x5S73R0QjBTLV1g0C3xy8i8hzGe2gCzAcQkepuZO6Q5XSJ7sa8EDzpdc6VelLVnRhvYbKI1MNM3lnnLLD+nwsSfwIdVXWL7wkR2epC/mDWUr2BWVYwXUTuxkz/jwXy6Vrcwxqh4hHoAbTFIvIhsB2ogZmmjfMjUuLxIIe7yV3v8oKq/uVodMWs6XGDGzH/mC8H+qnqHud4e+B1lzRuwXQn1QHu9vKAOgKzXNIIdHvchOkuqw/EZUd+wIwJuTXj71GMxxAMzFSz6Rgi0gHz4+4azsy4ARjPdA7GY3GDcZj692cMnnFDQFVHisggTDduY8yU+ZsxHvZVbmhY/GMnJhQDEdmDWWMRhOlL/8r7fEnXpjgDx/0w3Rsfqmqyc/xcTBfBvJLkX1qISIizGPakpjTawxlragL86nSJuo7jHVbzXgQrIlUwIXVKHPFDREZhwjH9hlm2MPdUaH9L6WCNUDFw3h4LRFW/dEmnOmZvdjAD7n+7ka+Tdw/gF1Xd7Hx/lNzZUndle0Yl1PhBVds4n19W1TtKmqcfjfmqGud8Hq6qbneNZuv0whiJNW6/BDh1fxVm9uAFwNOqOtVljabAszhlwMwcTHZZIwv4C8j25LJ/VFxZnOwnrlse1IW4bqWhYfGP7Y4rBm4ZmYJwpky/glkMuwkn4oCITAdudWOKNmZMoL2j1x0z4D4AM1tqMmZwuaR4j6UEalZRoMfnEJFJmK6xb4D/isj5qvrfY1xWHPoB56rqP85aqrmAq0YIM9X4LYzXnoCJs1boD+5xEOitMz4GfnL+IH/gYDcMRGloWPxgjVAxcN4qR2AGeZ/H/GBkb4Nwowtxy0ZiBu7rOzPJcKY1T8BEDn6khPmDeTPNfmPtDUxzFpCuFpHbXcgfAj92VloalwJnq2qms7B0GbnT293gUHZbqAnIGYjZqtW8vKtnRcT17RWyvWpfROQSzAvOkBJK9MZMdjgLs1D8PVXdUMI8T4SGxQ+2O64YiMjXmLfKMOAezCD/55gfqydU9YIS5r8WON/LSGQfrwqsUNVWJcnfyesXTLDGfzBdKFdkG08RWaeqLVzQ+AcTyy0IM8ib/Y/ZzdhxBY3PZWu4ETsup1vR33cX8s8uQzaXkVsmt8rwO8YQZL/Zv4PXQLu6vwfWuZjwOn0wz9en6sJWC07eVTC9BP0wUbpHut07URoalrxYT6h4VFXVKQAicquqfuQcXyAiz7qQf5avAQITl0tE3HpbGIfpctiL2RQs2wCdi5kF5gbNXcqnMHp6fc6eSeY9FuEGzRyjnZ1nY+e7W8Y0uwxVMGOACwHFxEVzixRgLLl1koKpr+z4dyWOci0iZ2IM3QDMXlsfYCY9xJQ0bx8OAn9jnt0GQEWX8y8tDYsX1ggVD+8FhL5xsdxYXHjUiePm70fUlcWLqvqaiMzDLPLz3j8oBbMI0w2NzYEc0HeoDtRT1QkAIrISM050FBMB2Q0CbUy/xUwxvhYzBgjgwYQjGi0i56jqTwVdXEQ6Y7qZklV1oYhchfGE12EWmLrB75iuyu7ZXVgico9LeSMisZgynI8x1C+60PVd6hoW/9juuGJwjG6mRqpaohXoIrIJY2z8GaGjGqCw8iLymJshiURkItASM6DfEfjc5QF9RGQ50F9Vtzrff3K0qgCvq2pHN/W8dGsDO9WFYK9OzLXKwD1eY4BhGE8lE7NvUYkG/UXkHczLZmVgD6Z+pmPqClW9viT5Oxq9MD/gF2MmV7wPvFrSe/fKPztw8NeYlwzfwMEljk1XGhoW/1hPqHiMxMQ+20Xe0DSuoKoN3c6ziCQAj7mY32UEdkAfIDTbADl87azc3+n065cYEWmP2SxvF+b+/wfUBsqJyLWqOreEEl2Bpt4GTVX3ishtmG6t+BLmD9BaVc9y1golA6c77fI2eT3h40ZVZwAzvMZT7gYindmF01V1fqEZHBtXPPQyoGHxgzVCxaMuZkylGWbNxXLM2/43WsINzgrCbS+lAFwNOImJT5cJ4Ew/djt/MCvoc1DVoV5fI3CH8ZjZkOGYaAnxqrpCRJphVtaX1Ahl+fOoHCORrqorSpg/GIMZivGAKmPKsgsTEcCtEEoAqOoB4F3gXadbuQ+ma7RERqig+HMiUhGz/XaJKQ0Ni3+sESoGqno/gPOP+jxM3/ogYIqI7HFjZpkf3PZS/NHW5fwKGtAHwI3ZccB3InKT7+JOEbkFsyWCG4Rkv8WLyKhso6BmGww38l/neFRveR8Ukasx0QfcYBpmzCYY48l/JCJ/YtaKvV/YhUXF+aG+ldwFsdOc6AxTcG/cKVsrGDPONQCIw3jZHxV6URnUsORijdDxUQkzTTvc+duG+ccXCNwOi+9375fsH1WX+r7Pxgyw+waXjMJrC+4Scg+mC2gguTvQtsW84fdyScN7Mojv7rluDKYOAT4VkRvIjbN2Hub5SnQhf1T1BRH5wPm8TUTewsT0m6qqbhnrNzHd08swXYgtMDHxXMOJVjIQ04W5EjP+dIa/2aRlWcOSHzsxoRiIyBTMgPs+4DtgBWb9zu5CLyyZZjk12w67ld9hCtn7paBuiWJqfAEMV5+NwESkNWY7dNe6N5xZTS2dr7+q6mIX884EDmDqqBK5YWmCgIqq6kp3lk8Z1qnqIjfyLS1EZI2qtnY+hwArXV5PlYQJXjoJmKGq+0TkL7cmPpSWfhj5swAABgVJREFUhsU/1hMqHvUxb9rrMYO8SZgZR65QSl7KaZi++n6Y3VQ/AD7W3EjXbuDxNUAAqrpGRBq6qINjdFwzPD55BwciXz86AStDKZEzSUdVj7jUVenNxxjvth+QKSKf4X7EjNLQsPjBekLFxBlkb4kZD7oIaIUZ6P1WVf9TwrwD7qX46GXv/XIv4NbeL4jIelVtWsC5DaraxA0dS9nAy2OEvF5j9qLeMBc0goBozDhNV8w6sRuBWepCJPDS0rDkx3pCxcSZzbTWCbnyt/PXHbPIrURGiNLxUoCA7v0CsKqASQODXdaxlAFKw2NU1aMi8h2wExOz0YN5fidgps2fFBqW/FhPqBiIyJ3kekAZONOznb81Lo/dBMpLCfjeLyLiwSyIPEzeAfdQIFHd3YLbcoojIuUx21Fci4lHF4QxEOMxSyakpJElSkPD4h/rCRWPhpipmveoqltx1vIRYC/lYcw/srOdv6ecPvwgzLqVs0sqoKqpwEUiEoPprgTTpXEyj3tYThxjMWucGviJLPE80IWSbydRGhoWP1hPqAxRSl5KAz+HgzDTp4eralc39SyWkiIiG/CJLOEcD8aJLFHShb2loWHxjzVCZQgpfIdKV7wUHz3fsPufqOp4NzUslpIiIn+o6pnFPVfWNCz+sd1xZQt/7n6Ol+KGQCmG3bdY3KI0IkuUhobFD9YIlSHUa4dKf16KSzIBDbtvsQSAgEeWKCUNix9sd1wZogAv5X5V9TeOc7waAQ27b7EEitKILHGyR684GbFGqAzhjAktA2708lL+DMQ+Ql5h9wdgdtd8C3fC7lssFkuRsd1xZYveGC9liYhkeymB2AYhYGH3LRaLpThYT6gMYr0Ui8Xy/wVrhMo4Xl5Kv0BtWW2xWCwnCmuELBaLxXLCKHeib8BisVgs/3+xRshisVgsJwxrhCxlEhHJFJGfRGStiHwkIpVLkFe0s9srIpIgIg8Vkra6iNx+HBqPicj9RT1eSD7F2remuPlbLGUNa4QsZZV/VfUcVW2F2RLiVu+TIhIkIsV+flV1pqqOLiRJdaDYRshisRwfdp2Q5WRgGXCWszX4POA7oC3QVcw+FI9jtl3fCAxS1f0i0gWzD8w/wNfZGYnI9cB5qjrU2fdoMpC9GPg24E6gsYj8BCxQ1QdE5AGgr6MxPXsHXREZCVwHpAFbKcaWGyIyAxMTsCLwoqpO8Tr3AhAHpAD9VTVdRBpjNleLcMp0k6r+XlQ9i6WsYj0hS5lGREKAeGCNc6gpMFFVW2K2lH4YuFxV2wCrgHtFpCJmZ8weGGNVp4DsXwK+dKKTtwF+BR4CNjpe2AMiEudong+cA7QVkctEpC1mYfE5mK2g2xWzaDeoaltMfLI7RaSWc7wKsMop35fk7tY7BbjDueZ+YGIx9SyWMon1hCxllUqONwLGE5oGnA5s9trXpT3QAljubMwXCnwLNAP+UtX1ACLyNnCzH41YzE6aqGom8LezLsubOOfvR+d7VYxRqobxiv5xNGYWs3x3ikh2YMwoJ8+dQBYmZiDA25igmlUxu/l+5JQTjFdmsZz0WCNkKav8q6rneB9wfoAPeB0KwnSZDfBJl+e6EhIEPK2qr/ho3H28GYpINHA5cKGq/iMiSzHdcv44iumx2ONbHxbLqYDtjrOczKwALhaRJmDCHTmRyH8HGjrjKGDCH/ljEWYcCBEJFpFwYB/Gy8lmHnCD440gInVFJBL4CuglIpVEpBqm66+ohAO7HQPUDOPRZVMOuNL5PBD4WlX3An+JSB/nHoJExNUNDi2WE4U1QpaTFlVNB64H3hORX3C64lT1IKb7bZaI/ICZOOCPu4AYEVmDmVTQQlV3Yrr31orIs068vneBb510HwPVVPUHTLfZz8Ac4PtCbvVhEUnK/sNsoREiIr8BozHGNJsDwPkishbTXTjKOX4VcKOI/IwZu+pZ1HqyWMoyNmyPxWKxWE4Y1hOyWCwWywnDGiGLxWKxnDCsEbJYLBbLCcMaIYvFYrGcMKwRslgsFssJwxohi8VisZwwrBGyWCwWywnDGiGLxWKxnDD+D8DLdY1J9914AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmn = compute_confusion(model=model, data=test, le=le)\n",
    "\n",
    "title = \"Confusion Matrix of {model_name} on {dataset_name}\".format(model_name=\"MyCNN\", dataset_name=\"RML2016.10A\")\n",
    "fig = plot_confusion(cm=cmn, labels=le.labels, title=title)\n",
    "if fig_dir is not None:\n",
    "    file_path = \"{fig_dir}/confusion_matrix.pdf\"\n",
    "    print(\"Saving Figure -> {file_path}\".format(file_path=file_path))\n",
    "    fig.savefig(file_path, format=\"pdf\", transparent=True)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "module2_solutions.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
